Madhav Gupta
Graduate Research Assistant and Teaching Assistant at IIT Bombay
About
I'm Madhav Gupta, a final-year dual degree student at IIT Bombay currently serving as a Graduate Research Assistant and Teaching Assistant. My career has been a rapid journey through AI/ML research, software development, and quantitative analysis, with hands-on experience at companies like Samespace, Userology, Hilti, and WorldQuant. I'm passionate about cutting-edge AI research, particularly in computer vision and explainable AI, and I believe strongly in robust systems that work under real-world conditions. I value collaborative innovation and continuous learning across both technical and business domains. I'm actively building my professional network and looking to connect with experienced professionals who share my interests in AI research and technology development.
Networking
What I can offer
- ›AI/ML research expertise in computer vision, NLP, and explainable AI
- ›Software development and full-stack engineering skills
- ›Quantitative analysis and research consulting experience
- ›Project experience in autonomous systems and driverless technology
- ›Academic collaboration and teaching assistance
Looking for
- ›expanding my professional network
- ›exploring mutual opportunities in AI/ML research and technology
Best fit for
Current Interests
Background
Career
Started as Trainee at IIT Bombay Racing, progressed through multiple AI/ML, software development, and research roles including internships at Samespace, Userology, Hilti, Theseus AI Lab, NuSummit, and consulting roles at WorldQuant and Bidwiser, while holding leadership positions in student organizations and currently serving as Graduate Research Assistant and Teaching Assistant at IIT Bombay
Education
Dual Degree (BTech + MTech) in Electrical Engineering and Minor in AI & Data Science at Indian Institute of Technology, Bombay (2021 - 2026), Grade: 9.03/10; High School Diploma at St Edmund's School (Apr 2019 - Mar 2021), Grade: 98.6%; Middle School Diploma at Maheshwari Public School (Apr 2009 - Mar 2019), Grade: 96.8%
Achievements
- ›Authored a paper titled 'Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts,' accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026)
- ›As a Software Development Intern at Hilti, engineered a full-stack employee record management system from scratch and developed a bulk Bill of Material export feature
- ›As an AI/ML Intern at Samespace, built an end-to-end conversational analytics pipeline and fine-tuned a GPT-2 summarizer to generate concise Tagalog summaries
- ›As an AI & Product Intern at Userology, engineered pipelines for usability test evaluation and AI moderator prompt assessment, leading to improved user experience and efficiency
- ›Contributed to the IIT Bombay Racing team as part of the '1st ever Indian team representing India in Formula Student AI at Silverstone,' working on the driverless subsystem
- ›As part of the Inter IIT Tech Meet team, developed an LLM pipeline to dynamically select and compose tools from a predefined toolset to address user queries, fine-tuning models like Mistral-7B and Orca 2
- ›As an Interview Coordinator, assisted in conducting interviews for 20+ firms and handled queries for 2000+ students during the 2022-23 placement season
Opinions
- Believes in the importance of robust and explainable AI, identifying a 'critical flaw' in existing methods that fail under distribution shifts and advocating for frameworks that provide stable explanations
- Values hands-on experience, mentorship, and collaborative innovation as critical drivers of professional growth and successful project outcomes
- Demonstrates a philosophy of continuous learning and skill development across technical and business domains