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Hi, I am Vishwa, a machine learning engineer and an open source enthusiast with over 8 years experience in developing and deploying multiple projects. I am an expert in managing individuals and teams as well. With me you can expect high quality code with best practices.
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.
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions.
I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning.
In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics.
**What you can expect from me as a mentor:**
* Clear, structured lessons—customized to your pace and background
* Real-world coding practices from enterprise-grade projects
* In-depth AI/ML concepts explained from scratch
* Doubt-clearing sessions before every new topic
* Practical examples connecting theory to implementation
If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
A freelance consultant having 10+ years of programming and project management experience. These days I am focusing on PHP Laravel and Python for data scraping and automation.
Reza is an accomplished CTO and engineer with extensive experience in near-silicon design and problem-solving. He has done stream processing in all kinds of domains, using MQTT-SN, HL7 in healthcare, and mSEED and SEGY in earthquake analysis, utilizing a wide array of databases and programming languages. Passionate about building, Reza has maintained projects such as Ansible, universal-ctags, and QMK, and contributed to the Linux kernel and EDKII (UEFI).
I'm a full stack software engineer, technical writer and computer science educator. I enjoy testing, debugging, refactoring, application design, maintaining projects and teaching.
My primary technologies are JavaScript, TypeScript, React, Express (PERN stack), Playwright, Puppeteer, Python, Flask and C. See my [Stack Overflow tags](https://stackoverflow.com/users/6243352/ggorlen?tab=tags) for more technologies ordered roughly by my interest and experience.
In addition to Stack Overflow, I'm active on [Code Review Stack Exchange](https://codereview.stackexchange.com/users/171065/ggorlen). Feel free to peek at a few of these reviews to get a sense of the insights I can offer your code.
I'm looking forward to hearing about your project!
_<sub>Profile picture by the wonderful [Emily Huston](https://emilyhuston.github.io) ❤️</sub>_
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.
Certified in UiPath and Microsoft Power Platform, with 15 years of IT experience in analysis, design, development, integration, testing, and maintenance .
Proven expertise in designing and implementing end-to-end Robotic Process Automation (RPA) strategies for web, desktop, mainframe, PDF, SharePoint, and Excel applications using UiPath, integrated with Microsoft and Google OCR technologies.
Delivered 100+ UiPath RPA bots globally, with major projects for US clients, ensuring on-time, quality delivery.
Skilled in Microsoft Power Platform – including Power Automate Flows and Power Automate Desktop.
Hands-on experience in LLM, RAG, Prompt Engineering, Agentic Automation, and AI Agents.
I turn builders into agentic engineers who ship faster, smarter, and with confidence—one-on-one.
WHAT I TEACH
• Agentic engineering fundamentals: design, orchestration, and evaluation of AI agents
• AI-assisted development: coding workflows that 2–5x velocity without sacrificing quality
• Generative AI: local and cloud image/video generation, diffusion models, and end-to-end pipelines
• Complex automated workflows: retrieval, tools, function-calling, evaluators, and monitoring
• Prompt engineering that scales: patterns, guards, and reproducibility
• Efficiency playbook: from Cursor/Copilot prompts to claude code, opencode, amp, repoprompt, CI, telemetry, and test harnesses.
WHY ME
• 13+ years building production apps across startups and Uber-scale systems
• 2 years hands-on in generative AI, local and cloud-hosted LLMs and image generation, prompt engineering, and automations
• I focus exclusively on 1:1 teaching—no cohorts, no fluff, just outcomes
HOW 1:1 WORKS
• Personalized roadmap tailored to your product, stack, and constraints
• Live build-and-architect sessions focused on your real projects
• Fast async support for quick questions and advice between sessions
• Project planning, code reviews, and architecture critiques
• Developer experience upgrades: templates, dev tools, CI, prompts, and guardrails
• Curated resources and practical exercises to lock in skills
OUTCOMES YOU’LL GET
• Ship agentic features in days, not months
• Choose the right approaches for your use case and budget
• Stand up local and cloud image/video generation with reproducible results
• Automate complex multi-step workflows with evaluation and monitoring
• Write prompts and system designs that survive real users
WHO THIS IS FOR
• Engineers and founders who want hands-on guidance, not theory
• Teams ready to integrate AI into production with confidence
READY TO LEVEL UP?
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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.
How much does it cost to hire a freelance LLM developer?
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.