Sumukh Acharya

Linear Algebra Teaching Assistant @ PES University

Thu, 15 Jan 2026 00:00:00 +0000

PES University · Jan 2026 – May 2026

Content coming soon….

About Me

Thu, 11 Dec 2025 00:00:00 +0000

I’m a final-year Computer Science student at PES University and currently an AI Intern at Tvam Technologies. My current work focuses on fine-tuning language models, and I’m deeply fascinated by how AI can be applied to solve meaningful real-world problems.

As I grow in this field, I aim to advance from fine-tuning existing models to building my own. I’m always looking for opportunities to strengthen my skills, take on new challenges, and contribute to impactful projects. I also have a growing interest in Big Data and Database Systems, helping me build a strong and versatile technical foundation. Outside of technology, I enjoy capturing moments through photography and love the strategic challenge of chess.

AI Intern @ Tvam Technologies

Mon, 01 Sep 2025 00:00:00 +0000

AI Intern | Tvam Technologies

September 2025 – Present

Designing and executing parameter-efficient fine-tuning workflows for compact language models, with emphasis on reliability, structured outputs, and controlled evaluation. Responsible for end-to-end experimentation — from dataset construction and instruction design to optimization, benchmarking, and validation under real-world constraints.

Update: Delivered two full LLM adaptation cycles; currently iterating on a third with expanded benchmarking and stylistic conditioning controls.

Projects

Project 1 — Structured Output Adaptation for Compact LLM

Senior Vision AI

Fri, 15 Aug 2025 00:00:00 +0000

GitHub →

What is it?

Scan-n-Say is a mobile web app that helps elderly and visually impaired users shop independently at supermarkets. Point your phone camera at any product, and the app reads out a simple, friendly summary of what’s on the label — no squinting required.

Why I built it

Product labels are a nightmare — tiny fonts, dense ingredient lists, unfamiliar terms. For older adults or anyone with low vision, this makes supermarket shopping unnecessarily hard. I wanted to fix that with something genuinely useful: a tool that strips away the noise and just tells you what you need to know.

Database Teaching Assistant @ PES University

Fri, 01 Aug 2025 00:00:00 +0000

PES University · Aug 2025 – Dec 2025

What I did

Served as a Teaching Assistant for the Databases course, supporting 150+ students across lab sessions, assignments, and doubt-clearing.

On the technical side: helped students work through SQL query debugging, schema design problems, and core database concepts — normalisation, indexing, transactions, and the like. A lot of the real learning happened in one-on-one debugging sessions where the goal was to get students to spot their own mistakes, not just hand them the answer.

Python Teaching Assistant @ PES University

Fri, 01 Aug 2025 00:00:00 +0000

PES University · Aug 2025 – Dec 2025

What I did

Served as a Teaching Assistant for the Python programming course, supporting 150+ students across lab sessions, assignments, and doubt-clearing.

On the technical side: helped students debug code, understand core Python concepts — data structures, control flow, functions, file handling — and develop an intuition for writing clean, readable programs. Most of the valuable sessions were the messy ones: sitting with a student over a broken script and walking through it line by line until the bug revealed itself.

Grid Pulse

Tue, 01 Jul 2025 00:00:00 +0000

GitHub →

What is it?

Grid-Pulse is a real-time data pipeline that turns F1 race weekends into a live stock market. Every driver has a stock value that rises and falls based on their performance — qualifying laps, race positions, practice results — visualised on a live dashboard that updates as events unfold.

Why I built it

F1 is already obsessive about data. I wanted to explore what it would look like to model driver performance as a financial instrument — and use it as a real excuse to build a proper streaming data pipeline from scratch, not just a toy script.

URL Shortener

Sat, 15 Mar 2025 00:00:00 +0000

GitHub →

What is it?

A production-grade URL shortening service — the kind of system you’d actually deploy, not just demo. Built with Flask and Redis, containerised with Docker, and orchestrated on Kubernetes with autoscaling, load balancing, and health monitoring out of the box.

Why I built it

URL shorteners are a classic system design problem. I wanted to go beyond the basic implementation and actually build it the way it would run in production — with horizontal scaling, ingress routing, and the ability to handle real traffic spikes without falling over.

DFOS

Fri, 15 Nov 2024 00:00:00 +0000

GitHub →

What is it?

A multi-client file transfer system built from scratch in Python — no frameworks, just raw sockets. Clients authenticate, get their own isolated storage directory on the server, and can upload, download, preview, or delete files concurrently without stepping on each other.

Why I built it

I wanted to understand what actually happens under the hood when files move across a network — before abstractions like FTP clients or cloud SDKs hide all the interesting parts. Building it at the socket level made the concurrency and protocol design problems impossible to ignore.

Dynamic Fare Engine

Thu, 10 Oct 2024 00:00:00 +0000

GitHub →

What is it?

A fare forecasting system for RideWave, a fictional urban mobility company operating bikes, autos, and cars in Quahog City. Given three years of hourly fare data (2021–2023), I built predictive models for each vehicle type and combined them into an ensemble to power dynamic pricing recommendations.

Why I built it

Dynamic pricing is one of the more interesting applied ML problems — it sits at the intersection of time series forecasting, business strategy, and real operational constraints. I wanted to work through the full pipeline: exploratory analysis, model selection, feature engineering, and ensemble design, rather than just fitting a single off-the-shelf model.

Streamly

Tue, 10 Sep 2024 00:00:00 +0000

GitHub →

What is it?

A data analysis and modelling project for Streamly, a fictional streaming platform. Using their catalogue and engagement data, I analysed what content actually drives user retention and built regression models to predict it — giving the business a data-backed foundation for content decisions.

Why I built it

Streaming platforms live and die by retention. I was curious about what the data actually says when you cut through intuition — does budget correlate with ROI? Do certain genres retain users better than others? This project was about asking those questions rigorously and letting the analysis answer them.

Data Science Intern @ CODMAV Research Centre (PES University)

Sat, 01 Jun 2024 00:00:00 +0000

PES University · Jan 2026 – May 2026

Overview

During my tenure at the Centre of Data Modelling, Analytics and Visualization (CODMAV), I worked at the intersection of healthcare and Artificial Intelligence. My primary objective was to build a robust predictive system capable of identifying lung cancer risk at an early stage, which is critical for patient survival rates.

The Technical Challenge

The core difficulty of this project lay in the sheer scale and sparsity of the raw clinical data. Sourced from the Harvard Dataverse (Lung Cancer Risk Prediction Dataset) , the initial dataset was massive but significantly noisy, comprising 22,811 patient records and 788 health markers.

Restaurant Ordering System

Mon, 15 Apr 2024 00:00:00 +0000

GitHub →

What is it?

A client-server restaurant ordering system built in Python using raw sockets, secured with SSL/TLS. Clients can browse the menu, place orders, and get a GST-calculated bill — all over an encrypted connection.

Why I built it

This was an early deep-dive into network programming. I wanted to understand how client-server communication actually works at the socket level, and adding SSL on top made it a practical exercise in securing that channel — not just making things talk, but making them talk safely.

Photography

Mon, 01 Jan 0001 00:00:00 +0000

To see more of my clicks, visit my profile here:

My VSCO Gallery

Sumukh Acharya

Linear Algebra Teaching Assistant @ PES University

About Me

AI Intern @ Tvam Technologies

AI Intern | Tvam Technologies

Projects

Senior Vision AI

What is it?

Why I built it

Database Teaching Assistant @ PES University

What I did

Python Teaching Assistant @ PES University

What I did

Grid Pulse

What is it?

Why I built it

URL Shortener

What is it?

Why I built it

DFOS

What is it?

Why I built it

Dynamic Fare Engine

What is it?

Why I built it

Streamly

What is it?

Why I built it

Data Science Intern @ CODMAV Research Centre (PES University)

Overview

The Technical Challenge

Restaurant Ordering System

What is it?

Why I built it

Photography

Few of my Clicks