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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!
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.
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. 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. \- Hands-on experience across several advanced AI and graphics-related domains, including: * **3D graphics and reinforcement learning pathfinding** for autonomous driving systems, including work related to the **NASA Rover Challenge**. * **Brain tumor segmentation and classification** using computer vision and deep learning techniques. * **Video analytics and video classification**, including in-video action recognition and classification workflows.
**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.
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 help startups and product teams build, stabilize, and scale AI-powered SaaS platforms. I am a Senior Full-Stack / AI SaaS Engineer with 11+ years of experience across TypeScript, React, Next.js, Node.js, PostgreSQL, Supabase, Redis, Go, cloud infrastructure, and LLM-powered workflows. I work best in small, high-ownership teams where I can take ambiguous requirements, understand the existing system, and ship production-ready features without breaking what already works. My recent experience includes AI assistants, realtime systems, multi-tenant SaaS platforms, Stripe billing and entitlements, class scheduling APIs, secure file access, webhooks, browser automation, backend integrations, and production debugging. At MSBAI, I helped build AI products for scientific and engineering workflows, including an AI assistant for CFD simulation planning, a mining-permit drafting assistant, and an HPC/supercomputer resource-management platform. I worked on LLM workflows, retrieval systems, realtime desktop sharing, resumable job pipelines, and admin tooling. At LSAT Demon, I worked on production TypeScript systems for class scheduling, student registration, plan-based access control, recurring class behavior, downgrade cleanup, Zoom workflows, and regression-safe service logic. At Handlet, I work on an AI-native SaaS platform using Next.js, Supabase, Stripe, realtime inbox workflows, Unipile integrations, secure attachment access, entitlement enforcement, RLS, webhooks, migrations, and CI/CD. I bring strong full-stack execution, backend architecture, product sense, testing discipline, and the ability to move fast without creating long-term technical debt.
Senior data & AI engineer with 9+ years building and operating scalable, low-latency data platforms processing 15TB+ and hundreds of millions of events daily across AWS, GCP, and Azure. Open-source-first — Kafka, Spark, Apache Iceberg, Trino, dbt, and Airflow on Kubernetes — across ingestion, transformation, and BI/reverse-ETL consumption, with the governance, observability, and reliability (SLOs, 99.9% uptime) production data products demand. Also delivers production AI/agentic systems (LangChain, CrewAI, Google-ADK, RAG) and administers the databases behind them — PostgreSQL, MongoDB, Cassandra/ScyllaDB, Redis, MySQL, ClickHouse (HA, backup/DR, tuning, security). Track record: 40% lower cost, 50% faster processing, 60% faster analytics deliver
I started my career as a web developer 16 years ago. I like challenges where I can use my skills to develop outstanding web applications in look, performance, and efficiency. I am specialized in Front-End and back-end web technologies. For more details about technologies I know, see the expertise section below. I can help you with: • New projects or features • Front-End/Back-End development • Mentoring • UX/UI Design • Bug fixes and issue resolving If I missed something you need help with, please drop me a message and I will look for a solution.
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 an AI Systems Architect, Founder, and Full-Stack Engineer with over 10 years of experience designing and building scalable software products for startups and enterprises across the US, Europe, and Asia. I specialize in AI agents, Voice AI, LLM-powered applications, workflow automation, and modern cloud architectures. Over the years, I've helped businesses build production-ready platforms ranging from recruitment automation and conversational AI to CRM systems, logistics platforms, and enterprise SaaS applications. My expertise spans Python, Node.js, FastAPI, React, OpenAI, real-time AI, AWS, Docker, MongoDB, PostgreSQL, and enterprise integrations. Beyond writing code, I enjoy helping teams make sound architectural decisions, debug complex production issues, improve application performance, and turn ambitious product ideas into reliable, scalable systems. Outside of technology, I enjoy exploring new cuisines, traveling, and reading about business, technology, and emerging AI trends.
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