SHASHIN R

Software Developer & AI Enthusiast

Computer Science undergraduate with hands-on experience in Full Stack GenAI, agentic workflows (LangGraph), and predictive modeling (XGBoost) — most recently building agentic AI applications at Ford Motor Private Limited.

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About Me

Computer Science undergraduate with hands-on experience in Full Stack GenAI, agentic workflows (LangGraph), and predictive modeling (XGBoost). Most recently built agentic AI applications at Ford Motor Private Limited, working with FordLLM and BigQuery-driven sales insights.

Skilled in building high-performance RAG pipelines, RESTful APIs using FastAPI and Node.js, and optimizing data analytics systems. A proactive problem-solver seeking a Software Engineering or GenAI/Full Stack Developer role to deliver scalable, production-grade applications.

Phone: +91 9043319174

Email: shashinrajkumar@gmail.com

LinkedIn: linkedin.com/in/shashin-r-985a2a321

Education: B.E. Computer Science & Engineering - R.M.K. College of Engineering and Technology (CGPA: 7.46, Expected 2027)

Technical Skills

Programming Languages

Java

Python

JavaScript

Web Technologies

HTML5

CSS3

React.js

Node.js

Tailwind CSS

AI, Databases & Tools

LangGraph & LangChain

MongoDB

SQL (MySQL)

GitHub

Concepts & Specializations

Full-Stack Development AI Integration LLMs Retrieval-Augmented Generation (RAG) Machine Learning Project Management

Experience

June 2026 - July 2026

SDE Intern

Ford Global Technology & Business Center, Chennai

Developed Agentic AI applications using LangGraph and FordLLM for S4 insights from BigQuery; participated in the Ford Solutions Hackathon as an NA Sales team member
Developed a forecast model for FDAF using XGBoost and LightGBM, improving accuracy by 94% and reducing MAPE from 24.93% to 2.93%

June 2025 - July 2025

Full Stack GenAI Intern

Sinthan AI Academy - Chennai, India

Developed full-stack Generative AI applications using LLMs, fine-tuning techniques and RAG pipelines
Integrated AI models with frontend and backend APIs, optimizing system performance and reducing API response latency by 15-20%

Projects

NoteFlow – Intelligent RAG Application

LangGraph, React.js, OpenRouter, HuggingFace, MongoDB

Architected a FastAPI backend implementing a RAG pipeline with all-MiniLM-L6-v2 embeddings and nemotron-3-super-120b, achieving 80% semantic relevance in evaluation tests.

Designed MongoDB schema for document storage, vector indexing, and persistent chat history, improving retrieval efficiency by 30%

FastAPI LangGraph MongoDB RAG

DealerPulse – Sales AI Platform

Python, FastAPI, LangGraph, BigQuery, GCP

Built an LLM-powered S4 sales-insights feature turning field managers' natural-language questions into governed analytics, cutting latency 43% and cost 50% via prefetched queries and reasoning-effort tuning.

Added on-demand PDF reporting with one-click download and cached cloud delivery, serving repeat requests from storage instead of re-running the full pipeline

FastAPI LangGraph BigQuery GCP

InvestIQ – Financial Advisory Site

HTML, CSS, React.js, Node.js, Express.js, MongoDB

Developed a MERN-based financial advisory platform with RESTful APIs and MongoDB, delivering personalized loan and insurance recommendations.

Integrated Apache-licensed Generative AI models, improving recommendation accuracy by 75% on validation inputs

Full Stack Generative AI Finance

Achievements

Poster Presentation Participant

AIRSS, IIT MADRAS

Participated in prestigious poster presentation competition at IIT Madras

Hackathon Participant

HackOxday & HackHub 2025

Participated in multiple hackathons showcasing problem-solving skills and technical abilities

Vice Treasurer

CSI Student Chapter (2025-2026)

Managing chapter finances and supporting student community initiatives

Student Coordinator

Technical Symposium, College

Coordinated the organization and execution of the college's technical symposium

Certifications & Courses

ServiceNow Certified System Administrator & Certified Application Developer

Full Stack & Generative AI Master Class

MongoDB Certifications

Basics for Students, RAG Building, CRUD Operations, AI-Powered Vector Search