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AI Engineer with 1+ years in GenAI Applications & LLM Workflows.
Data Scientist with 1.5 years of production experience building GenAI applications, integrating LLM APIs, and applying both traditional ML and modern generative AI approaches to solve real-world business problems. At NVIDIA, optimized Python-based LLM workflows at enterprise scale, resolving 450+ prompt and data issues across live GenAI systems and achieving a 25% gain in model precision and 30% improvement in reliability. Experienced across the complete ML lifecycle from problem definition, data analysis, and model development through production deployment and monitoring. Proficient in LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, and Groq APIs, with strong foundations in NLP, text analysis, RAG architectures, and agentic AI frameworks. Based in Pune.
Imarticus Learning, Pune
Post Graduate Diploma · Data Science and Analytics
August 1, 2023 – June 30, 2024
Pimpri Chinchwad College of Engineering, Nigdi
Bachelor of Engineering · Mechanical Engineering
August 1, 2019 – June 30, 2023
NVIDIA
Associate AI Engineer / Prompt Engineer
August 1, 2024 – May 1, 2025
India
TUV SUD Pvt. Ltd.
Data Analyst Intern
January 1, 2024 – July 1, 2024
India
ClinIQ: Autonomous Multi-Agent Clinical Intelligence Platform
June 1, 2026 – Present
Designed and deployed a GenAI application solving a complex business problem in clinical intelligence, using a LangGraph stateful multi-agent pipeline (Intake, Knowledge, Risk, Report agents) with typed state, conditional routing, and workflow checkpointing. Implemented hybrid BM25 + semantic vector retrieval with Reciprocal Rank Fusion (RRF) for accurate clinical document analysis, and built a two-layer risk scoring engine combining deterministic rules for known drug interactions with LLM reasoning for nuanced multi-factorial clinical analysis. Integrated Langfuse observability for full LLM tracing (per-agent token usage, latency, cost tracking, prompt versioning) and deployed via FastAPI, Docker Compose, and Streamlit with configurable LLM provider switching across Groq, Ollama, OpenAI, and Google.
View ProjectFinance Intelligence Agent
June 1, 2026 – Present
Built a production-ready GenAI application integrating OpenAI API with LangChain, featuring RAG architecture with FAISS vector search, LLM reranking, and agentic function calling for multi-step financial intelligence reasoning. Implemented observability layers tracking response quality, hallucination risk scoring, and token utilization, demonstrating end-to-end ML lifecycle thinking from problem definition through production deployment and monitoring.
View ProjectSentiment Analysis on Public Data
June 1, 2026 – Present
Applied traditional ML and NLP techniques including TF-IDF vectorization, multilingual translation, tokenization, and sentiment classification to analyze 900+ unstructured YouTube comments, demonstrating proficiency in text analysis methods the GenAI stack builds upon. Translated raw unstructured user-generated content into quantified sentiment distributions, directly relevant to document classification, customer feedback analysis, and LLM-powered text analytics workflows in production data science environments.
View ProjectRoom Occupancy Prediction System
June 1, 2026 – Present
Executed a complete ML lifecycle from data ingestion, EDA, and feature engineering through model training, evaluation, and deployment, achieving 94% prediction accuracy on environmental sensor data via a Flask REST API with live Power BI monitoring.
View ProjectArticle SEO Automation
June 1, 2026 – Present
Integrated OpenAI LLM API into a production automation pipeline using n8n workflows, generating keywords, meta descriptions, and ranking insights from ingested articles every 2 minutes with idempotent UUID-based orchestration and automated failure handling.
View ProjectGenerative AI Certification
Udemy
June 1, 2026 – Present
IELTS Band 7
Unknown
June 1, 2026 – Present
Smart Luggage with Integrated Digital Weighing System and Tracking (Patent No. 548936)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from clinical intelligence to finance and SEO automation, indicates adaptability and a broad interest in applying AI across various domains. Their experience at NVIDIA as an Associate AI Engineer/Prompt Engineer aligns directly with an AI Engineer role, demonstrating practical experience in an enterprise setting. The breadth of skills, including both traditional ML/NLP and advanced GenAI, suggests a continuous learning mindset and ability to integrate different technologies. The personal projects showcase initiative and a passion for building practical AI solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by resolving 450+ prompt and data issues at NVIDIA and designing complex multi-agent systems. Their experience in leading AI evaluator onboarding and communicating technical findings suggests good team collaboration and communication. The patent publication indicates an innovative and independent research mindset. The IELTS Band 7 certification further supports strong English communication, which is crucial for cross-functional collaboration.