Medhir Manoj

Backend Developer | Aspiring GenAI Expert | Learning RAG & LLMs
India.

Work

IIIT Kalyani
|

Academic Researcher

Highlights

Achieved 93% accuracy in real-time human pose estimation using MediaPipe & TensorFlow.

Integrated LSTM-based movement analysis, enabling dynamic action detection & combat feedback.

Optimized latency to sub-100ms by developing a lightweight AI model for real-time tracking.

Delishia Analytics
|

Backend Developer

Summary

Developing and maintaining the company website using Next.js and GraphQL for efficient data fetching and seamless user experience.

Highlights

Developing and maintaining the company website using Next.js and GraphQL for efficient data fetching and seamless user experience.

Antino Labs
|

Associate Backend Developer

Highlights

Enhanced user management by 30% through advanced email communication using NodeMailer.

Utilized MongoDB's Aggregation Framework to resolve bugs and optimize data processing.

Ensured software quality with the development of 50 comprehensive test cases and a 95% test coverage.

Implemented Multer for efficient file uploads in a NodeJS environment deployed within T3 containers.

Education

Indian Institute of Information Technology, Kalyani

Bachelor of Technology

Computer Science

Grade: 8.4/10

Courses

Data Structures & Algorithms

Software Development

Operating Systems

DBMS

AI/ML

Awards

Machine Learning A-Z AI, Python

Awarded By

Machine Learning

The Complete Developer's Guide

Awarded By

GoLang

Developed the best beginner project among 50+ developers

Awarded By

Winter Of Code

Full-Stack Development Course (App Brewery)

Awarded By

Web Development

Skills

Languages

Python, C++, Java, JavaScript, Golang, NextJS.

Database Systems

PostgreSQL, MongoDB, Redis, ElasticSearch.

Framework

NodeJS, Git, Docker, Sanic, Flutter, Tomcat, GraphQL.

Machine Learning

Tensorflow, Keras, OpenCV, Numpy, Pandas.

Projects

BIAL HACKATHON(MICROSOFT)
Medicare Prime