BACKGROUND
About Me
My love for AI started with a simple question: how can machines see what we see? Growing up listening to my sister's medical school stories made me wonder how technology could help diagnose diseases, and I had to know how.
I didn't plan on being an AI engineer; I just kept following the thrill of "wait, I can make this work," and that itch to figure things out pulled me toward computer vision. When I built a Sign Language Recognition system from scratch with barely any computing power, I realized the next step was using AI for real impact, and that's how I got into building tools that matter. Now working on GrantWell to help Massachusetts communities access federal grants and researching radiation safety in medical imaging, I'm learning to make complex systems feel effortless in someone's hands.
Outside of code, I'm a traveler, a connector, and a collector of tiny moments. I've explored 10 US states so far, grabbing a lapel pin from each one, and I'm always planning the next adventure. I love photography, chasing good food, and getting lost in unfamiliar cities. Whether it's mentoring students through tricky assignments, running hardware labs, or volunteering with AYUDH, I'm happiest when I'm bringing energy, clarity, and a bit of joy to the room.
PROFESSIONAL JOURNEY
Experience
Generative AI Product Developer
- Co-developed GrantWell, a public-facing AI tool helping underserved Massachusetts communities pursue federal grants, partnering with MA Federal Funds & Infrastructure Office (FFIO).
- Designed AI-powered grant recommendation system using Claude 4 via Amazon Bedrock, matching projects to NOFOs through plain-language input.
- Built guided grant writer interface with real-time AI assistance, document upload, and narrative generation.
- Conducted field visits and user demos across Massachusetts, incorporating feedback into features including NOFO summarization, chatbot design, and compliance workflows.
Graduate Teaching Assistant
- Teaching Assistant for Advanced Perception (CS 7180) and Natural Language Processing (CS 6120, CS 4120) courses across multiple semesters.
- Hold weekly office hours helping 150+ students understand Computer Vision and NLP concepts, debug programming assignments, and mentor final projects.
- Grade theory and programming homework, tests, and final projects while providing detailed feedback to enhance student learning.
AI Research Assistant
- Worked under Dr. Madan Rehani in the Global Outreach for Radiation Protection Program in MGH's Imaging Department.
- Researched and published on using Artificial Intelligence to improve radiation safety practices in medical imaging.
Artificial Intelligence Intern
- Worked at a startup building robotic arms for small businesses and democratizing robots.
- Developed and analyzed leads for business expansion, created reports and dashboards to visualize performance.
- Built automation scripts to scrape web data and convert them into leads for the Business Team.
Machine Learning Engineer
- Worked at an edu-tech research initiative with 30 interns and 25 publications funded primarily by research grants.
- Followed AGILE methodology with weekly SCRUM meetings to discuss progress updates.
- Gained hands-on experience in NLP and Computer Vision by training a ChatBot for FAQs and working on a government-funded project for sign-language accessibility.
Teaching Assistant - Hardware Essentials Lab
- Conducted Hardware Essentials Lab Sessions for 180+ students weekly at a research-intensive university.
- Evaluated student performance through submissions and viva, assisted with 45+ Arduino and Raspberry Pi projects.
SELECTED WORKS
Projects
TECHNICAL EXPERTISE
Skills
Languages
Machine Learning & Data Science
Cloud & MLOps
Web Development
AI Specializations
RESEARCH & PUBLICATIONS
Publications
Real-time patient-specific dose in CT through use of artificial intelligence
Research on AI-driven methods for real-time patient-specific dosimetry in CT imaging, focusing on radiation safety and personalized medical imaging.
Enhancing Radiation Safety in CT Imaging through Artificial Intelligence
Co-authored research on AI applications in CT imaging safety, incorporating CNN-based segmentation and deep learning denoising techniques.
LET'S CONNECT
Get In Touch
I'm always interested in hearing about new opportunities, collaborations, or just connecting with fellow AI enthusiasts. Feel free to reach out!