---
title: "Sriharsha Vadavalli - Software Engineer in Hyderabad | Tal"
description: "Meet Sriharsha Vadavalli, SWE at Parsewave | Former Analyst Intern at Bain & Company | Former AI Intern at Bharat Electronics | VIT CS, Class of ’26 based in Hyderabad. AI stack includes antigravity and opencode."
image: "https://tal.club/meet/sriharsha-vadavalli/share-image"
---

# Sriharsha Vadavalli on Tal

## Headline

SWE at Parsewave \| Former Analyst Intern at Bain & Company \| Former AI Intern at Bharat Electronics \| VIT CS, Class of ’26

## About

I'm a final\-year Computer Science Engineering student at Vellore Institute of Technology with a strong interest in Artificial Intelligence, Machine Learning, and Financial Markets\. I enjoy exploring how technology can create real\-world impact and am always eager to learn from others\.

## Location

Hyderabad

## AI stack

antigravity

opencode

## Work experience

Software Engineer at Parsewave, Jul 2026 \- Present · 2 mos, San Francisco Bay Area, Generating data to enhance the performance of state\-of\-the\-art frontier models\.

Analyst Intern at Bain & Company, Jan 2026 \- Jul 2026 · 7 mos, Gurugram, ◦ Built and automated an electronics data categorization pipeline by clustering delta items with legacy datasets and transitioning from SBERT \+ FAISS to TF\-IDF \+ KNN for post\-clustering classification, reducing inference latency by ∼50% while improving mapping efficiency and scalability\. ◦ Architected an end\-to\-end automated data improvement pipeline using recall/precision\-driven taxonomy analysis, LLM\-powered FP/FN validation, and seamless ICV integration, optimizing 500\+ taxonomies across 5 merchants and improving 80K\+ data items\.

Artificial Intelligence Intern at Bharat Electronics Limited, May 2025 \- Jul 2025 · 3 mos, Bengaluru, ◦ Leveraged Large Reconstruction Models \(LRMs\) and computer vision techniques to generate high\-fidelity 3D assets from low\-resolution military tank imagery, improving reconstruction quality from limited viewpoints and sparse visual information\. ◦ Fine\-tuned OpenLRM using Masked Autoencoders \(MAE\) and BERT\-based semantic embeddings, applying data preprocessing, feature engineering, and model optimization techniques to improve tank\-specific representation learning and 3D mesh generation quality\.

Executive Member at Juvenile Care, VIT, Jan 2025 \- Sep 2025 · 9 mos, Vellore, Tamil Nadu, India

Senior Core at Juvenile Care, VIT, Jan 2024 \- Jan 2025 · 1 yr 1 mo, Vellore, Tamil Nadu, India

## Education

Bachelor of Technology \- BTech, Computer Science Engineering, Vellore Institute of Technology

FIITJEE

[View the original profile](https://tal.club/meet/sriharsha-vadavalli)

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