Resume
B.Tech. in Computer Science & AI · Plaksha University
SDE ResumeBackend, full-stack & fintech-focused
AI/ML ResumeResearch, RAG pipelines & LLM systems
Contact
Education
Plaksha University
B.Tech. in Computer Science & AI
CGPA: 8.20
Aug. 2022 – Expected Aug. 2026
Skills
Languages
PythonSQLJavaScriptTypeScript
AI / ML
PyTorchLangChainOpenCVRAG PipelinesSegment Anything (SAM)
Web & Backend
FastAPINode.jsNext.js (SSR/CSR)REST APIsPydanticTailwind CSS
Cloud & Tools
Azure (Cosmos DB, OpenAI)FirebaseFAISSGit/GitHubVercel
Research Experience
Undergraduate Researcher
Visual Benchmarking of VLMs | Sup. Prof. Pankaj Pansari · Plaksha University
- Constructing a 500-image benchmark dataset across five physical estimation tasks (weight, volume, angle, fit, structural stability) with instrument-verified ground truth to evaluate frontier VLMs on physical-world grounding under naturalistic conditions.
- Preliminary evaluation across 200 images: Gemini 3 Pro achieves 21.57% MAPE on angle estimation vs. 28.99% for GPT-5.2; both models score near chance (0.476) on structural stability, identifying an unsolved failure mode in current frontier models.
- Designing human-baseline study platform to collect performance data across all five tasks.
Undergraduate Researcher
Supervised by Prof. Sandeep Manjanna · Plaksha University
- Developed preprocessing pipeline (contrast adjustment, noise reduction, edge detection) to optimise Segment Anything Model (SAM) for agricultural crop-weed segmentation on sparse datasets, maximising zero-shot segmentation quality on out-of-distribution agricultural imagery.
- Improved batch processing throughput for 10,000+ image datasets by implementing vectorized NumPy operations and Python multiprocessing.
Industry Experience
AI Engineering Intern
Cotality (PropTech SaaS) · Kolkata
- Architected FastAPI backend parsing 50,000+ LOC/day across 15+ languages via Abstract Syntax Tree (AST) analysis, enabling automated real-time documentation generation across polyglot codebases.
- Reduced AI embedding generation costs by 85% by designing a hash-based change detection system with SHA-256 on AST nodes, chunking codebases function-by-function and skipping unchanged functions to eliminate redundant vector database updates.
- Built RAG pipeline using LangChain, Azure OpenAI embeddings, and Cosmos DB with DiskANN vector search for semantic code retrieval; migrated from FAISS as retrieval latency requirements tightened with repository growth.
- Designed and delivered 12 production RESTful API endpoints with typed Pydantic response schemas, powering real-time code documentation preview in the client-facing web interface.
Leadership
Head of Technology
Plaksha University
- Built and maintained a sports platform serving 500+ students, shipping event registration, live-scoring, and photo galleries, while mentoring 2 junior developers through code reviews and production deployments.
LEAP.AI @ Plaksha
Plaksha University
- Contributed as a core developer on a team of 7–8, then led the team through 2 full platform redesigns as Head, growing the AI club site to 800+ monthly users for events, workshops, and project showcases.