Manish AS

MA

Looking for a job

Manish AS

@manishas

Team Lead Intern at CHAIC ASI who integrated Agentic AI and RAG into health assistance and complaint handling workflows.

At CHAIC ASI, I developed responsive frontend interfaces with Next.js, React.js, and Tailwind CSS, and built reusable UI components with TypeScript. I also integrated Agentic AI, LLMs, and RAG into health assistance and complaint handling workflows.

For my FDQT project, I designed a federated reinforcement learning framework for task offloading in vehicular fog computing. In large-scale simulations, it achieved 28% lower average latency and 22% reduced network load.

Experience

Work history, roles, and key accomplishments

CA

Team Lead

CHAIC ASI

Developed responsive frontend interfaces using Next.js, React.js, and Tailwind CSS. Integrated Agentic AI and LLMs for intelligent health assistance and complaint handling, and coordinated team tasks as a Team Lead Intern.

Next.js React Tailwind TypeScript Agentic AI Large Language Models RAG API Integration

Education

Degrees, certifications, and relevant coursework

ST

Siddaganga Institute of Technology

Bachelor of Engineering, Information Science and Engineering

Grade: CGPA: 7.80

Pursuing Bachelor of Engineering in Information Science and Engineering with a CGPA of 7.80, expected to graduate in June 2026.

SP

Shree Siddarameshwara Polytechnic

Diploma, Electrical and Electronics Engineering

Grade: Percentage: 70.13

Completed Diploma in Electrical and Electronics Engineering with a percentage of 70.13.

Tech stack

Software and tools used professionally

GitHub

MongoDB

Android SDK

Next.js

Tailwind CSS

React

Python

Java

C++

C

XML

TypeScript

Visual Studio Code

Git

SQL

Availability

Looking for a job

Location

India

Authorized to work in

Salary expectations

1064k+ INR

Job categories

Front End Developer Artificial Intelligence Engineer Machine Learning Engineer

Skills

Frontend Development Next.js React TypeScript Tailwind Agentic AI Large Language Models RAG API Integration Federated Learning Deep Q Learning Reinforcement Learning Fog Computing Vehicular Edge Computing Task Offloading

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