Code, Creativity, and Clarity — All on One Page.
Currently pursuing my Master’s in Computer Engineering at NYU, I bring hands-on experience in machine learning, MLOps, and scalable system design. I’ve built projects that combine technical depth with real-world relevance. I’m actively seeking roles where I can contribute to impactful tech products while continuing to learn and grow alongside experienced teams.
Education
New York University, New York, NY, Aug 2024 — May 2026 (Expected)
M.S. in Computer Engineering
Cumulative GPA: 3.33/4
Relevant Coursework: MLOps, Deep Learning, Data Science for Business, Big Data, Neural Data Science
Ahmedabad University, Ahmedabad, Gujarat, Aug 2020 — May 2024
Bachelor of Technology
Major: Computer Science and Engineering
Minor: Design
Honors: Certificate of Scholastic Distinction for Academic Excellence
Experience
Teaching Assistant & Grader, NYU Courant, New York, NY, Sep 2025 — Dec 2025
Guided weekly lab sessions and graded assignments for 100+ students, clarifying concepts such as sorting, graph algorithms, and dynamic programming
Provided detailed feedback and held office hours to strengthen algorithmic problem-solving skills.
AI Intern, Intervision Systems, Chesterfield, MO, Jun 2025 — Aug 2025
Automated 50+ weekly support requests by integrating Amazon Q Business assistants into Salesforce, ServiceNow, and Slack via Python and REST APIs to enable AI-driven for scalable infrastructure.
Deployed conversational chatbots and proof of concept applications using React and FastAPI with optimized dialog flows and user behavior models, cutting average response time by 40% and boosting user satisfaction after successful A/B tests.
Engineered Agentic AI workflows using Model Context Protocol (MCP) and LLMs (OpenAI, Groq, Hugging Face, LangChain) to enable context-driven task orchestration, automated decision-making, and rigorous evaluation of system performance.
Engineering Intern, ODE Infinity, Tempe, AZ, May 2023 — Jul 2023
Developed scalable Flutter-based features like one-click email unsubscribe and real-time privacy tracking, enhancing user retention by 15%.
Translated Figma designs into responsive, cross-platform UIs using Flutter, improving UX consistency across devices.
Boosted a client’s SEO score from 55 to 94 using Google Analytics, Semrush, Ubersuggest and on-page optimisation, increasing web traffic by 40%.
Teaching Assistant, School of Engineering and Applied Science, Ahmedabad, Gujarat, Sep 2023 — May 2024
Conducted hands-on lab sessions, assessed assignments, and resolved 50+ weekly queries for 120+ CS undergrads, boosting satisfaction and outcomes by 20%.
Collaborated with professors and developed excel-based grading macros and a Git-managed repository for exam materials, decreasing grading time by 30% and minimizing errors in grade calculation.
Skills
Projects
Financial Analyst RAG Assistant
Built a RAG pipeline using ML, NLP and algorithmic techniques with PyMuPDF, LangChain, FAISS and all-MiniLM-L6-v2 embeddings to index 100+ 10-K filings into 5K+ chunks, achieving sub-2-s information retrieval and cutting analysis time by 70%. Employed Hugging Face flan-t5-base LLM and OpenAI embeddings in a Streamlit UI to deliver explainable financial answers with 90% top-5 precision, <1-s response latency, and thorough evaluation metrics.NYC Taxi Demand Prediction with Weather and Flight Data
Engineered distributed MLOps pipelines on Chameleon Cloud using Airflow, Docker, and FastAPI to forecast hourly taxi demand from weather and flight data; rigorously tested models and tuned XGBoost models in MLflow to deliver 8% higher accuracy. Implemented Prometheus and Grafana and developed dashboards for real-time observability of data freshness, pipeline health, and API latency, enabling rapid anomaly detection and reducing incident response time by 30%.Jailbreaking Deep Models – Adversarial Attacks on ResNet-34
Evaluated adversarial robustness of ResNet-34 (ImageNet-1K) using FGSM, PGD, and patch-based attacks, decreasing top-1 accuracy by 75% and revealing critical vulnerabilities models, using key metrics to assess performance. Visualized perturbation heatmaps with OpenCV and Matplotlib, revealing that 70% of misclassifications originate from just 3% of image regions, pinpointing critical robustness gaps.
Certifications
AWS Certified Developer Certificate, Issued Jun 2025
30 Days of Google Cloud, Issued Mar 2021 by GDSC
Leadership
Hackathon Organiser, Ahmedabad University
Orchestrated logistics, marketing, and participant engagement for a 36-hour inter-university hackathon with 1100+ attendees, resultingin 100+ project submissions and 5 winning solutions selected by industry judges..