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AI/MLEngineer | Forward Deployed | From Architecture to Launch | LLM Eval, RAG, Agents | Grad student @ University at Buffalo
I ship AI systems that work in production - not just demos that impress in a meeting. Most LLM projects fail between "it works on my laptop" and "it works for 10,000 users." I specialize in that gap: building the evaluation pipelines, observability layers, and deployment infrastructure that turn promising AI into reliable products. What I've actually shipped: → 35% reduction in manual processing with LLM-powered automation → 40% faster validation through LLM-as-judge pipelines → 25% data quality improvement with GPT-based automation → RAG pipelines for real-time analytics What I build: - LLM Evaluation — Golden datasets, auto-raters, LLM-as-judge integrated into CI/CD - Agentic Systems — Tool-calling agents with tracing and circuit breakers - Observability — Telemetry tracking quality, latency, cost, and safety I write about production AI, LLM evaluation, and why most AI projects fail after the demo. Let's connect if you're building AI that needs to actually work.
University at Buffalo
Master of Science - MS, Industrial Engineering - Data Analytics Engineering
N/A – Present
Indian Institute of Technology, Madras
Bachelor's degree, Data Science and Programming
N/A – Present
SRM University (Sri Ramaswamy Memorial University)
Bachelor of Technology - BTech, Computer science and Engineering with specialisation in AI ML
N/A – Present
Indian Institute of Technology, Indore
Research Assistant
June 1, 2023 – December 1, 2023
Remote
ACM India
Student
June 1, 2023 – June 1, 2023
Hyderabad, Telangana, India · On-site
ValueXPA
Data Scientist
November 1, 2022 – December 1, 2023
Chennai, Tamil Nadu, India · Remote
Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI)
Data Analyst
September 1, 2022 – May 1, 2023
Remote
KPMG - Data Analytics Consulting Virtual Internship
Forage
June 25, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 25, 2026 – Present
The complete Python Bootcamp from Zero to Hero in Python
Udemy
June 25, 2026 – Present
Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]
Udemy
June 25, 2026 – Present
British Airways - Data Science Job Simulation
Forage
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has experience in both academic research and industry settings (ValueXPA, RBCDSAI), indicating adaptability to different work environments. The diversity of educational institutions and roles suggests an openness to new challenges and learning, which generally contributes positively to cultural fit. However, without specific project details or team interaction examples, a deeper assessment of cultural fit is limited.
Soft Skills & Operational Fit
The candidate's resume descriptions are concise, making it difficult to assess soft skills like teamwork, problem-solving approach, or adaptability. Operational fit cannot be fully determined without more detailed project descriptions or interview data.