Deep Gautam Kapadia
@deepgautamkapadia
Early-career engineering student building multimodal search and carbon-aware LLM routing systems.
What I'm looking for
I’m a B.E. student in Electrical and Computer Engineering, and I build applied AI systems that connect performance with real-world constraints. I enjoy turning research ideas into working prototypes with clear, measurable outcomes.
On a CSIR research project, I’m working on designing a more efficient solar inverter system by analyzing inverter architectures and components to improve power conversion efficiency. I like tackling problems where efficiency and design trade-offs matter.
I also developed a multimodal image retrieval system using contrastively trained CLIP embeddings to align images and text in a shared semantic vector space. In parallel, I designed an Eco-LLM inference routing environment for carbon-aware LLM query routing, modeling multi-objective trade-offs between inference accuracy, energy consumption, and grid carbon intensity.
I’m comfortable implementing end-to-end pipelines—from image indexing and semantic search to reinforcement learning environment design (FastAPI, reward calibration, and baseline scripts). I’m active in leadership through executive and organizing roles, and I value collaboration and reliable execution.
Experience
Work history, roles, and key accomplishments
Executive Committee Member
Fine Arts and Photography Society
Sep 2024 - Present (1 year 9 months)
Organized photography and creative events by coordinating logistics and improving participant engagement, and collaborated on workshop and exhibition planning for community outreach.
CSIR Solar Inverter Research
Thapar Institute of Engineering and Technology
Aug 2024 - Present (1 year 10 months)
Worked on a CSIR research project to design a more efficient solar inverter system by analyzing inverter architectures and components to improve power conversion efficiency.
TFF Organizing Committee Coordinator
TFF Organizing Committee
Feb 2025 - Apr 2025 (2 months)
Coordinated core festival planning and execution activities, managing event operations, scheduling, and participant experience across multiple teams.
Eco-LLM Inference Routing
Thapar Institute of Engineering and Technology
Designed an OpenEnv-compliant reinforcement learning environment for carbon-aware LLM inference routing, modeling trade-offs between accuracy, energy use, and grid carbon intensity.
Semantic Image Search Engine
Thapar Institute of Engineering and Technology
Developed a multimodal image retrieval system using contrastively trained CLIP embeddings to align images and text in a shared semantic vector space for natural-language search.
Education
Degrees, certifications, and relevant coursework
Thapar Institute of Engineering and Technology
Bachelor of Engineering (B.E.), Electrical and Computer Engineering
2024 -
Grade: Current CGPA: 9.60
Activities and societies: CSIR solar inverter research; CLIP-based multimodal image search; Eco-LLM carbon-aware LLM inference routing using an OpenEnv-compliant RL environment (FastAPI/HF Spaces).
Pursuing a B.E. in Electrical and Computer Engineering (current CGPA: 9.60). Working on a CSIR research project and building ML/NLP and retrieval systems (including CLIP-based multimodal search and carbon-aware LLM inference routing).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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