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Deep Gautam KapadiaDK
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Deep Gautam Kapadia

@deepgautamkapadia

Early-career engineering student building multimodal search and carbon-aware LLM routing systems.

India
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What I'm looking for

I’m looking for opportunities where I can build multimodal search and LLM systems that optimize real constraints (energy/carbon), learn fast, and collaborate with engineers and researchers to ship impactful prototypes.

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

Thapar Institute of Engineering and Technology logoTT

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 logoTT

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

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