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Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!
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.
Lifelong coder, experienced Rails engineer (since Rails 1.0), degrees from MIT and Stanford. Founder at ScrumNinja and Internaut Design. Expert communicator. Knows best-practices of industry. I am also an expert in audio signal processing.
I am a highly skilled **Senior Software Engineer** with over **20 years** of experience in designing, developing, and managing small to large-scale applications using **C# and .NET (Standard & Core)** frameworks. I am proficient in both backend and frontend development, and I deliver high-quality solutions following best practices in design patterns, architecture, and testing. **Top focus on providing AI solutions integration to .net applications for multiple clients.** My recent expertise includes Blazor, Radzen, Oqtane, ABP.io, ASP.NET Zero, ASP.NET Boilerplate, and cloud platforms like Azure and AWS, with strong experience in CI/CD pipelines, task management, and Agile/Scrum methodologies. I am experienced in unit and integration testing using xUnit, NUnit, Moq, BUnit, and performance/load testing with BlazeMeter and JMeter. **Key Expertise** - C# / .NET Development (20+ Years): ASP.NET MVC, ASP.NET Core, WebAPI, Standard & Core Frameworks, Design Patterns. - Frontend & UI Technologies: Blazor (Server & WebAssembly), Radzen, Oqtane, Angular, React.js, TypeScript, JavaScript, jQuery, HTML5, CSS3, Bootstrap. - ASP.NET Zero & Boilerplate Solutions (9+ Years): Enterprise-grade SaaS applications, multi-tenant systems, modular architecture. - Database & Data Management (15+ Years): SQL Server, Oracle, MongoDB, SQL Azure, Stored Procedures, T-SQL, MDX, SSRS, Telerik and most of latest toolkits. Vector DBs. - Cloud & DevOps (12+ Years): Azure, AWS, Azure Functions, Azure API, CI/CD pipelines, GitHub, BitBucket, TFS, SVN, Jira, Trello. - Testing & Performance: Unit testing (xUnit, NUnit, Moq, BUnit), Load & performance testing (Blazemeter, JMeter). - Software Design & Architecture: SOLID principles, SOA, TDD, Code First & DB First, scalable and maintainable enterprise solutions. - Agile & Project Management: Scrum, CMMI, Basecamp, Microsoft Teams, Whimsical. **Professional Highlights** Provided complex, enterprise-level solutions for top global companies including: The New York Times, Walmart, Knowledge Shop Pty Ltd, Easton Investments Ltd, Merit Wealth Pty Ltd, Beam, Live Help, Decisions, DigitalRep, Matrix Protection. Extensive experience in full lifecycle development, from requirement analysis and architecture to deployment and maintenance. Strong problem-solving and leadership skills, mentoring teams and ensuring high-quality deliverables. Regards, **Qaiser Mehmood**
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! 💡
I’m a **Senior Engineer** with 20+ years of delivering enterprise-grade software, specializing in **Java microservices, React, Node, AI/ML integrations, and scalable cloud-native architectures**. I have designed and deployed **production-ready AI platforms**, including **LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines**, for industries such as **fintech, healthcare, and SaaS**. With deep expertise in **Java, Spring Boot, Kafka, LangChain, OpenAI, and vector databases (Pinecone, FAISS)**, I build high-performance, secure, and scalable systems. I’m fully aligned to **US Eastern & Pacific time zones**, ensuring smooth collaboration with distributed teams. **Key Skills:** Java, Spring Boot, Kafka, LangChain, OpenAI API, Pinecone, RAG pipelines, AWS, GCP, Kubernetes, CI/CD, event-driven architecture. 📍 **Base:** India | **Availability:** Available for remote roles (EST/IST/CET)
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 started out as a Structural Engineer, graduating from UNIBEN, finishing among the top 5 in my class, before taking a path that led me deep into the world of AI/ML Engineering. That transition wasn't linear, it was built on exposure, experimentation, failure, and a lot of learning along the way. Through it all, one thing has never changed: I'm most alive when I'm at the intersection of technology and real world problems. Growing it, evolving it, building it, scaling it. That obsession has shown up in the work, from building the first-ever AI-powered RFP at TalkDEI, to finishing in the top 5 globally at Hamoye, to consistently scoring 98/100 on technical assessments. I've also had the privilege of mentoring and teaching over 5,000 individuals across various skillsets.
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.
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