My Work

I build practical AI/ML systems and data products - from retrieval pipelines to deployable services and I care about clarity, reliability, and impact.

Current

AI Researcher - Carnegie Mellon University

Jun 2025 – Present • Pittsburgh, PA

  • Building a scalable RAG system to help policy/corporate stakeholders navigate U.S. regulations.
  • Designed a modular multi-agent architecture (Master–Student–Evaluator) with AutoGen for role-specific analysis.
  • End-to-end pipelines: legislative PDFs → embeddings (OpenAI) → ChromaDB for high-accuracy retrieval with citations.
  • Dynamic prompt frameworks for domain-specific responses (e.g., Tax, Healthcare); deployable with Python, Streamlit, Docker.

CaPS Student Advisory Board Member

Sep 2025 – Present • CMU

  • Identify service gaps, advise on offerings, and help drive campus-wide awareness via sessions and feedback.

Computing Consultant - Heinz College (CMU)

Sep 2025 – Present

  • Assist with AI-driven tools to improve student/faculty workflows; maintain documentation and support.
  • Collaborate with Heinz Computing staff to maintain and enhance computing services.

Graduate Teaching Assistant - Fundamentals of Operationalizing AI

Aug 2025 – Oct 2025 • CMU

  • Conducted recitations, guided students through implementation challenges, held Q&A sessions, and graded assignments focused on deploying and scaling AI systems in practice.

Previous Experience

Computing Consultant - Heinz College (CMU)

Feb 2025 – May 2025

  • Supported classroom tech, printer/network/troubleshooting, and service documentation.
  • Collaborate with Heinz Computing staff to maintain and enhance computing services.

Data Analyst - CMU Libraries

Feb 2025 – May 2025

  • Contributed to centralized Research Information Management Services across university units.

Software Developer - YMGrad

June 2022 – Jun 2024

  • Developed internal data management and analytics tools to track user behavior, extract KPIs, and support product decisions through SQL-based dashboards and data visualization.
  • Optimized SQL queries and indexing strategies, improving data retrieval speed by ~30% and reducing page load times by ~25% through backend API and query optimizations.
  • Built and maintained REST APIs using Node.js, Express, and MySQL to power key features like authentication, real-time updates, and a DB-integrated chatbot — reducing manual support tickets by ~25%.

Undergraduate Student Researcher - Chandigarh University

Jul 2021 – Jun 2022

  • Published work in sentiment analysis and CV; built a webcam-based paint/writing app using MediaPipe + OpenCV.
  • Hands-on with Python, TensorFlow, OpenCV; collaborated with faculty on applied AI projects.

Community & Leadership

Perplexity Campus Partner - Carnegie Mellon University

Aug 2025 – Present • Carnegie Mellon University

  • Representing Perplexity AI on campus to promote AI literacy and product adoption. Conducted demos, shared feedback, and explored integrations with research workflows.

Peer Mentor - Heinz College

Sep 2025 – Present • Carnegie Mellon University

  • Guiding new students on academic, professional, and personal growth at CMU. Organized mentorship sessions and resource-sharing for successful adaptation.

Education

  • Carnegie Mellon University - MISM (BIDA), Aug 2024 – Dec 2025
  • Chandigarh University - B.E. CSE (AI/ML), 2018 – 2022
  • Turing College - AI Ethics (2025)

Currently Exploring

  • Building agentic RAG systems that scale across real-world domains
  • Turning applied AI ideas into products — fast, lean, and impactful
  • Exploring AI ethics and governance for trustworthy innovation
  • Experimenting with multimodal creativity: vision × text × sound
  • Growing as a builder-founder focused on AI systems with real-world adoption