Experience & Skills

A comprehensive overview of my career journey and technical expertise

Professional Experience

AI/ML Engineer

Chief Technology Office @ University of Chicago

Nov 2024 - Present

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Implemented features in Phoenix AI, a ChatGPT-like conversational AI system tailored for University of Chicago services.
Develop a Retrieval-Augmented Generation (RAG) model for the HR department, streamlining application processing and employee information management.
Collaborate with cross-functional teams to integrate machine learning solutions into existing business intelligence frameworks, driving data-driven decision-making processes.

Python Machine Learning NLP RAG AI/ML

Data Scientist

HERE Technologies (Capstone, University of Chicago)

Apr 2025 - Dec 2025

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Built a data-driven Change Detection Engine and RAG-powered context pipeline to standardize and monitor six archetypes of location data.
Developed data ingress workflows using Scrapy and Playwright, and applied LLM-based normalization with Ollama, Gemini API, and local models.
Integrated Vector Databases (FAISS / Chroma) for retrieval-augmented generation and contextual data supply to LLMs.
Implemented hybrid change detection logic combining rule-based methods with LLM/agent reasoning for semantic drift tracking.
Evaluated MCP-based orchestration, Airflow automation, and agnostic-LLM benchmarking to optimize scalability and reliability.

Python LLMs RAG Scrapy Playwright FAISS Chroma Airflow Gemini API Ollama

Machine Learning Engineer

Blue AI Labs

Jun 2025 - Aug 2025

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Spearheaded the development of advanced Sales AI tools that analyze sales call transcripts and generate personalized coaching feedback using LLMs and prompt engineering.
Designed and refined Retrieval-Augmented Generation (RAG) pipelines to enhance the contextual accuracy of sales recommendations.
Conducted rigorous evaluation of model performance through real-time feedback loops, leading to continuous improvement in user engagement and sales effectiveness.

LLMs Prompt Engineering RAG Sales AI Deep Learning

Project Intern

Bhabha Atomic Research Centre, Mumbai, Maharashtra, India

May 2023 - Jul 2023

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Designed and implemented a web service that streamlines the process of extracting data and automatically fills in the details in the application.
Developed a Python-based solution using Flask to automate data extraction from PDFs.
Worked on various projects and completed them in the given deadline.

Python Flask Web Development Data Extraction

Data Science Intern

CodeClause, India

Jan 2023 - Feb 2023

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Worked on various projects and completed them in the given deadline.
Drew conclusions on topics such as customer churn analysis, market basket analysis etc.
Performed data analysis and employed various machine learning algorithms.

Data Analysis Machine Learning Customer Analytics Statistical Analysis