My Experience on 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….

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

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.

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.