About
AI/ML Engineer with nearly a year of experience in Generative AI and data engineering. Skilled in designing and deploying LLM-powered applications. Specialized in RAG pipelines, LLM fine-tuning and evaluation, NLP-to-SQL, and agentic workflows. Proficient in Python, SQL, LangChain, Azure OpenAI, and Snowflake.
Skills & Expertise (36)
Work Experience
Data Science Intern
PowerSchool India
Jul 2025 - Present
Designed and implemented an LLM Evaluation Pipeline using DeepEval to assess responses across accuracy, relevance, hallucination, and reliability metrics; benchmarked multiple models and optimized performance by adopting Snowflake Cortex (Claude 3.5), achieving 40% lower latency with improved response consistency compared to general-purpose GPT models. Improved semantic search, resolved UI issues, and implemented backend API changes during the migration of the NLP-to-SQL (PowerBuddy for Data Analysis) platform from Snowflake to AWS, enabling secure natural language analytics across datasets representing 60M+ students globally. Owned ETL workflows and data cleanup pipelines using Python, SQL, Snowflake, and Azure, standardizing datasets for the PowerSchool Essentials migration, reducing batch runtime from 30 to 5 minutes (83% improvement). Identified and resolved a prompt injection vulnerability in the PowerBuddy for Learning chatbot by integrating Guardrails AI for structured output validation, alongside regex-based input sanitization and hardened system prompts, eliminating system prompt leakage risk in a live production GenAI application.
Education
Master of Technology (M.Tech.), Computer Science with AI and ML - Vellore Institute of Technology
2024 - 2026 · Afghanistan
Bachelor of Technology (B.Tech.), Computer Science with AI and ML - Jawaharlal Nehru Technological University Hyderabad
2020 - 2024 · Afghanistan
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Skills (36)
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