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Is your AI-powered MVP built on a fragile 'vibe-coded' foundation? Are you struggling to scale a prototype that was built with lightning speed but is now plagued by bugs, security holes, and technical debt?
I transform brittle AI prototypes into robust, **production-ready applications**. As a senior AI engineer specializing in the **Node.js** and **React** ecosystem, I bridge the gap between rapid, AI-assisted development and the disciplined engineering required for scalable, secure software.
But robust software is only half the battle. The other half is making it *work for your business*. I design and implement **intelligent automation workflows** that connect your apps, eliminate manual tasks, and free up your team to focus on high-impact work.
Whether you need to rescue a failing project, automate a core business process, or build a scalable MVP from the ground up, I provide the expert oversight to ensure your AI initiatives deliver real, measurable value.
**My Core Services:**
* **🤖 AI Code Rescue & Remediation:** I conduct deep **AI code audits** to debug, refactor, and secure fragile codebases (especially those built with LangChain.js). I turn unmaintainable prototypes into stable, scalable assets ready for real users.
* **⚙️ Intelligent Workflow Automation & Integration:** I design and build digital assembly lines for your business. I offer a full spectrum of automation solutions:
* **Rapid Integration:** Using **Zapier, Make.com & n8n** to connect your existing tools and solve immediate process bottlenecks.
* **Custom API Development:** Building custom **Node.js** APIs and webhooks to connect proprietary systems or handle complex logic that no-code tools can't.
* **AI-Powered Decisions:** Infusing your workflows with intelligence using the **OpenAI API** to triage support tickets, qualify sales leads, or generate content automatically.
* **🚀 Custom AI Solution Development:** I architect and build bespoke AI solutions from scratch, from **Custom GPTs** and intelligent **AI Agents** to complex RAG (Retrieval-Augmented Generation) pipelines that leverage your private data.
* **👨🏫 AI Engineer & Career Mentorship:** I provide 1-on-1 coaching to help developers navigate the AI landscape, master tools like LangChain.js, and build a successful career in AI engineering and automation.
**My Tech Stack:**
* **Languages:** Node.js, TypeScript, JavaScript
* **Frameworks:** React, Next.js, Express.js, NestJS
* **AI / LLM:** LangChain.js, OpenAI API, LlamaIndex, Vector Databases (Pinecone, Qdrant)
* **Automation Platforms:** Zapier, Make.com, n8n
Ready to move past the prototype phase and build a real business? **Send me a message with your project details or book a session to get started.**
---
### Service Packages
* **Package 1: AI Code Audit & Production-Ready Roadmap**
* **Description:** Have an AI-generated MVP that feels unstable? I'll perform a comprehensive review of your codebase. You'll receive a detailed report identifying security vulnerabilities, performance bottlenecks, and a concrete, actionable roadmap to make your application **production-ready**. This is the perfect first step to de-risk your project.
* **Package 2: Intelligent Automation Workflow**
* **Description:** Let's put a core business process on autopilot. We'll map out a high-impact workflow and I'll build a robust automation to solve it. Ideal for **automating lead qualification**, **triaging customer support tickets**, or **streamlining content pipelines** using the best tool for the job—Zapier, Make, or custom Node.js scripts.
* **Package 3: Scalable AI MVP Development**
* **Description:** Need to build an MVP the *right* way? I'll architect and develop a **scalable MVP** from day one, using professional, spec-driven development practices. We'll build a strong foundation with clean, documented code and a modern stack (Node.js, React) to avoid the technical debt that plagues "vibe-coded" projects.
`Typescript (Javascript), Python (Django)`, `PHP (Laravel, Wordpress)`, `Flutter (Dart) and` `3X Certified Salesforce Consultant` `(Dart)` with 5+ years dedicated expertise in end-to-end application development. Proficient in harnessing Python frameworks including Django, Flask, Pandas, Tensorflow, and Microservices. Skilled in AWS, GCP, Heroku Cloud platforms, combined with frontend expertise in NextJs, React.js. Well-versed with databases like MySQL, PostgreSQL, MySQL, and MongoDB. Utilizes robust communication and collaboration capabilities to ensure projects resonate with client goals efficiently and sustainably.
`**Key Strengths & Qualifications:**`
* **Full Stack Expertise:** Proficient in frontend and backend development, with a focus on creating seamless user experience and scalable server-side applications.
* **Backend Mastery:** Extensive experience in Python language programming, enabling the development of efficient and maintainable backend systems, Restful APIs, and microservices using Django, Flask, TensorFlow, LLAMA and Numpy.
* **Frontend Proficiency:** Skilled in modern frontend technologies, including JavaScript ES6, React, Angular and Vue, allowing for the creation of responsive and user-friendly interfaces.
* **Database Management:** Experienced in designing and optimizing databases on PostgreSQL & Oracle, to ensure data integrity and high-performance data retrieval.
* **Cloud Expertise:** Proficient in deploying applications on major cloud platforms such as AWS, Azure, and GCP, with knowledge of containerization (Docker, Kubernetes).
I'm well-versed in a broad range of AWS services, including EC2, S3, Lambda, and VPC. My responsibilities have encompassed designing scalable architectures, implementing security best practices with IAM, and optimizing cost and performance across cloud resources.
I have hands-on experience deploying and managing containerized applications using Docker and Kubernetes. This includes setting up Kubernetes clusters. My work ensures high availability and scalability of microservices architectures.
8 years of experience in building and managing AI Systems.
* I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems.
* Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs.
* Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline.
* Provide mentoring to junior developers for ML projects.
Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor)
Summary:
I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well.
I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well.
I have a cumulative experience of 8 years working in the product and service-based industry for creating Machine Learning projects.
I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on.
Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
Zuber is always looking to explore new technology stacks and frameworks.
He is a C.T.O level experienced developer.His ability to understand complex business logics has helped many clients all over the globe to build scalable businesses.
He loves to talk about new cuisines, new travel destination and books.
Technical cofounder, board member, and seasoned operator with experience building and growing early stage companies (pre-seed to late Series), large scale government and commercial projects, and nonprofits.
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks.
I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech).
In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**.
My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0).
Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
I'm Shweta, the C# corner MVP, a speaker and a girl behind YouTube channel https://www.youtube.com/@shweta-lodha. You will find that I'm incredibly passionate about helping people solving their technical problems related to Microsoft Technologies and LLM. I won several recognition from very popular forums like MSDN, Microsoft Technet, C# Corner, CodeProject for my community contributions.
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS.
I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript.
I have developed chatbots using **LLM and retrieval augmented generations.**
I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
I help businesses and developers leverage the power of Generative AI, RAG (Retrieval-Augmented Generation), and Agentic workflow to build cutting-edge AI applications. With hands-on experience across Azure AI, OpenAI, AWS Bedrock, SageMaker, and Databricks, I specialize in designing and optimizing AI/ML solutions tailored to real-world challenges.
What I Bring to the Table
✅ RAG & Multimodal RAG – Designing intelligent retrieval-based AI systems, optimizing embeddings, and leveraging vector databases.
✅ LLM Integration & Fine-Tuning – Experience with OpenAI, Claude, Mistral, and other open-source & proprietary models.
✅ Guardrails & AI Safety – Implementing security layers, prompt filtering, and bias mitigation in GenAI applications.
✅ Agentic Workflows – Building multi-agent AI architectures for automation, knowledge retrieval, and decision-making.
✅ Enterprise AI Deployment – Expertise in cloud-native AI deployments using Azure, AWS, and Databricks.
✅ AI Evaluation & Optimization – Fine-tuning RAG pipelines for better accuracy, latency, and cost-efficiency.
Industries & Use Cases
📌 Conversational AI & Chatbots
📌 Knowledge Management Systems
📌 AI-Powered Search & Document Intelligence
📌 AI for Finance, Healthcare, Manufacturing, and Automation
🚀 Whether you're looking to optimize an existing AI pipeline or build an AI-powered product from scratch, I can help you navigate the complexities of Generative AI and LLM-based systems.
Let’s build something intelligent together! 💡
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Frequently asked questions
How long do LLM projects normally take?
The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance LLM project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance LLM request on Codementor, check out our article.
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We don’t charge anything when you post a freelance hiring request for LLM developers! You’ll have the chance to determine what the budget for your project is when you post the request. You’ll only need to pay the developer if you’re 100% satisfied with their work. Please know that Codementor charges a small service fee when a developer completes the job.
What makes Codementor LLM developers different?
We do a comprehensive technical and communications screen of all LLM developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing LLM developers’ user satisfaction rates.
What happens if I’m not happy with the freelancer’s work?
As a platform, we strive to ensure you’re always happy with your LLM project’s results. If you’re unsatisfied with the results, you can choose to get a refund for the project. Additionally, you can contact our support team should you need any further assistance with your project.
For more answers to frequently asked questions, see here.