Data Scientist & AI/ML Engineer · GenAI, Agentic AI, LLM Systems
Building AI and ML systems that actually get used. Moving models out of the notebook and into production.
Background
I'm a Data Science graduate student at Illinois Institute of Technology (Class of 2026). My work spans the full lifecycle of applied machine learning: framing the problem, designing the system, building models, and ensuring they remain reliable and useful in the real world.
I believe that accuracy alone is table stakes—real impact comes from adding context, guardrails, and clear reasoning so stakeholders can trust the system.
Technical
Career
Jan 2026 — Present
Data Analytics Co-op
Labelmaster · Chicago, IL
Building and evaluating ML pipelines for time-series forecasting to support freight sales planning. Tracking experiments with MLflow and translating ambiguous requirements into production-ready analytics.
Aug 2025 — Present
Graduate Teaching Assistant
Illinois Institute of Technology · Chicago, IL
Supporting students across Software Engineering courses through office hours, live sessions, and assignment design. Bridging faculty expectations with student understanding.
Jan 2024 — Jun 2024
Data Science Intern
August Infotech · Surat, India
Designed and deployed a production ML risk-scoring system on AWS SageMaker using 500K+ records. Reduced manual review effort by ~40% and evaluated model fairness with SageMaker Clarify.
Jun 2022 — Dec 2023
Machine Learning Intern
Orion Technolabs
Orchestrated end-to-end ML deployment pipelines on AWS with SageMaker and S3. Containerized ML microservices with Docker and integrated CI/CD via GitHub Actions.
Work
A selection of applied AI and ML projects spanning agentic systems, federated learning research, and production data pipelines.
HackIllinois 2026 · Caterpillar Track
Voice-and-photo inspection tool for heavy equipment that replaces paper walkarounds. Uses RAG-grounded multimodal analysis to generate structured safety reports with severity classifications.
View on GitHubDec 2025
Two-part system integrating automated job discovery with intelligent application optimization. Reduced application prep time by 70% through AI-driven resume tailoring and cover letter generation.
View on GitHubOct — Dec 2025 · Research
Novel asynchronous federated learning framework addressing staleness in distributed edge environments. Achieved 52–53% accuracy vs 11–28% for baselines under high straggler conditions.
View on GitHubNov 2025
Autonomous AI agent functioning as a junior crypto analyst, combining natural language understanding with real-time market intelligence and conversation memory across sessions.
View on GitHubNov 2025
Large-scale ML pipeline processing 25M+ UK property transactions with ensemble models achieving RMSE £42K and R² 0.87. Includes buyer segmentation and interactive Streamlit dashboards.
View on GitHubJun — Aug 2025
Multi-agent system using CrewAI where specialized agents collaborate to generate personalized, cost-optimized itineraries in under 5 seconds, reducing manual research by ~70%.
View on GitHubAcademics
Master's in Data Science
Illinois Institute of Technology
Aug 2024 — May 2026
Focus: Applied ML, NLP, Agentic AI, Federated Learning
B.Tech in Information Technology
Government Engineering College, Gandhinagar
2020 — 2024
Foundation in CS, algorithms, and software engineering