Abhishek S
@abhisheks2
I build scalable backend APIs and AI-powered search and retrieval applications.
What I'm looking for
I've built AI-powered systems including FaceQL, a scalable face retrieval platform with asynchronous image ingestion and high-speed vector similarity search using FastAPI, Celery, Redis, PostgreSQL, AWS S3, and FAISS.
For WellNest, I engineered a permissioned multi-organization EHR platform using the MERN stack and Hyperledger Fabric. I also developed a RAG pipeline with FastAPI, ChromaDB, and LLM integration to deliver context-aware responses grounded in patient records and medical references.
At LAOZ Global Assets, I contributed to an RWA Tokenization platform across smart contract development and backend APIs. I built and tested Node.js APIs, validated smart contracts through API-driven workflows, and reviewed contract logic for security vulnerabilities and gas-cost optimization.
I've also built and deployed Exo-Seek, a full-stack ML application for exoplanet classification using React, TypeScript, FastAPI, and Random Forest, achieving 92.7% accuracy and 89.2% F1-score.
Experience
Work history, roles, and key accomplishments
Software Development Intern
LAOZ Global Assets Pvt. Ltd.
Jun 2025 - Jul 2025 (1 month)
Contributed to an RWA Tokenization platform, working across smart contract development and backend API layers. Built and tested backend APIs using Node.js to support web application functionality and smart contract interactions.
Education
Degrees, certifications, and relevant coursework
NSS College of Engineering
Bachelor of Technology, Computer Science Engineering
2022 -
Grade: 8.54/10
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.54/10.
Kerala State Board
12th Standard, General Studies
Grade: 97.5%
Completed 12th standard with 97.5%.
Kerala State Board
10th Standard, General Studies
Grade: 96%
Completed 10th standard with 96%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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