HELLO, I'M

ATHARVA

& I LOVE MOUNTAINS

B.E. STUDENT

01 / The Engineer

I don't just write code.
I build systems that scale,
learn and evolve.

I am a Machine Learning Engineer and Software Architect obsessed with the intersection of elegant code and intelligent systems. For me, engineering is not about typing syntax—it's about untangling complexity. I approach every problem by asking "Why?" before "How?", ensuring that the solutions I build are not just functional, but fundamentally sound.

02 / The Engineering Stack

WHAT
I BUILD
WITH.

Languages, frameworks, models and AI systems I use to turn ideas into working products.

STACK / 09 DOMAINS

SYSTEM ONLINE

01 LANGUAGES

Python Java C++

02 WEB DEVELOPMENT

HTML CSS JavaScript React

03 BACKEND & FRAMEWORKS

Flask FastAPI Django

04 GENERATIVE AI

LangChain LangGraph LLMs Agents

05 RAG SYSTEMS

RAG Vector DBs Embeddings Retrieval

06 DATABASES

MongoDB PostgreSQL MySQL

07 MACHINE LEARNING

Regression Classification Model Development

08 Key Concepts

Runnables Gradient Descent PCA - Principe Component Analysis

09 TOOLS

Git GitHub VS Code Jupyter Docker

03 / The Timeline

04 /

SELECTED WORK.

A curated selection of projects
that define my craft and curiosity.

01 Software Engineering

Torque Map Generation – Tata Motors Internship Project

During my internship at Tata Motors, I worked on developing an ML-based torque demand prediction system using vehicle CAN-bus data. I performed data analysis and preprocessing, engineered relevant features by drawing insights from real-world driving behaviour and developed post-processing techniques to achieve smoother driving dynamics. The collection of models developed by me, along with the executable prediction pipeline, was integrated into the primary controller code for testing and virtual deployment.

Technologies

Exploratory Data AnalysisMATLABModel-to-C ConversionEV/VCU Systems

Torque Map Generation – Tata Motors Internship Project preview

02 RAG

Fortune Cloud ChatBot

A highly intelligent, fully cloud-native Retrieval-Augmented Generation (RAG) chatbot designed to act as a friendly, sales-oriented virtual assistant for Fortune Cloud Technologies. This project uses a modern Cloud RAG stack to answer student queries about courses, placements, schedules, and more, complete with accurate citations pointing back to the official website. It also features a Dual-Mode Intelligent Form System embedded seamlessly into a beautiful custom UI.

Technologies

FlaskLangChainPineconeGroq

GitHub Live Demo

03 Machine Learning

AthuFlix - Movie Recommender

Implemented a content-based movie recommendation system using cosine similarity with a Flask-based web interface. Performing data preprocessing, vectorization, and feature extraction on 5,000+ movie records.

Technologies

PythonPandasFlaskML

GitHub Live Demo

04 Software Engineering

CivicFix - Problem Solver

CivicFix empowers citizens to raise and prioritize civic issues through community voting. The most critical problems gain visibility and move toward resolution with measurable impact. The platform ensures that the most critical issues rise to the top and move toward resolution, promoting accountability, participation, and smarter civic decision-making.

Technologies

Python(Flask)MongoDBCloudinary

GitHub Live Demo