---
title: "Harshvardhan - Software Engineer in Hyderabad | Tal"
description: "Meet Harshvardhan, SDE Intern @Tower Research Capital | ex-SWE Intern @ Enterpret, LinkedIn, Texas Instruments | CSE@IIIT-H’26 | Expert @CodeForces based in Hyderabad. AI stack includes cursor, langchain, and langgraph. Explore public work links including github."
image: "https://tal.club/meet/harshvardhan/share-image"
---

# Harshvardhan on Tal

## Headline

SDE Intern @Tower Research Capital \| ex\-SWE Intern @ Enterpret, LinkedIn, Texas Instruments \| CSE@IIIT\-H’26 \| Expert @CodeForces

## About

Hey , I am a Senior student at IIITH , who loves to explore new technologies in CS domain and discuss about them over a Tea break\. 🍵 I am interested in Web Development , ML and other technologies \. For my experience you can see my past internships and work areas\. I am currently trying to explore Diffusion Models and the field of Virtual Reality \. Even quantum field fascinates me a lot , hoping to get an elective in it soon \!

## Location

Hyderabad

## AI stack

cursor

langchain

langgraph

mcp

## Work experience

Software Engineer at Tower Research Capital, Jan 2026 \- Present · 4 mos, Gurugram, Building Strategy Research Framework/Platform for new TRAM/Mid Frequency Teams \.\.\. \[NDA\]

Software Engineer at Enterpret, Sep 2025 \- Jan 2026 · 5 mos, San Francisco Bay Area, As part of ML Team, I\) Enhanced Customer Feedback Intelligence: Improved recall and precision by 25% for a complex 5\-level hierarchical aspect classification system by implementing LLM\-based refinement layers and high\-dimensional NLP processing\. II\) Optimized Operational Efficiency: Architected "Insight Sentinel," a front\-end filter stage to identify non\-actionable feedback, reducing downstream computational overhead and processing costs by 15%\. III\) Engineered Scalable Backfill Strategy: Designed an advanced pipeline featuring automated synonym generation, morphological inflection handling, and LLM\-based precision filtering; this infrastructure improved recall by 30% when backfilling aspects for evolving keyword taxonomies\.

Software Engineer at LinkedIn, Jun 2025 \- Sep 2025 · 4 mos, Bengaluru, 🔹 Generative AI & Data Processing – Building a GPT\-4o powered pipeline to classify noisy job data, replacing legacy systems to significantly improve data quality and recall in production\. 🔹 Agentic AI & System Design – Designing and prototyping an agentic AI assistant for LinkedIn Recruiter to automate complex multi\-step workflows like candidate search, outreach, and scheduling\. 🔹 System Architecture & Tool Integration – Architecting a scalable, server\-orchestrated system \(MCP\) that simplifies development by wrapping internal gRPC services and third\-party APIs into standardized tools for AI agents\. 🔹 Production Ramping & Evaluation – Performing offline evaluations for coverage and quality, and managing the ramp\-up of LLM\-based inference into the live production environment using configurable toggles\.

Software Engineer at Texas Instruments, May 2025 \- Jun 2025 · 2 mos, Bengaluru, 🔹 Designed and implemented a portable, reusable test suite generation framework for internal IP \(e\.g\., SCI peripheral\) to be adapted across multiple projects such as AWR39xxDV, AWR68xx, AWR29xx , etc\. 🔹 Developed a Python\-based automation tool that reads metadata files \(interrupts, processor types, init sequences\) and auto\-generates processor\-specific test configurations \(MSS/DSS across Cortex\-R, Cortex\-M, and DSP cores\), increasing test suite reusability by 60%\. 🔹 Standardized test methodology to support project\- and processor\-independent validation, reducing redundant test maintenance overhead by 40%\. 🔹 Wrote boot code from scratch for Cortex\-R52\+ cores on Gen\-3 automotive radar SoCs, using R5 boot code as reference\. 🔹 Analyzed TRM \(Technical Reference Manual\) of Cortex\-R52\+ to identify differences in clocking, MPU, PMU, mutexes, and integrated changes into a custom NoRTOS environment\. 🔹 Ported and validated micro\-benchmark tests on R52\+ to verify bring\-up and performance characteristics\.

Software Engineer at Zenerative Minds, May 2025 \- Jun 2025 · 2 mos, Hyderabad, Telangana, India, Worked on Model Finetuning for military project Saamvad\-ai \[NDA restrictions\]

## Education

B\.Tech \+ M\.S\., Computer Science Engineering, International Institute of Information Technology Hyderabad \(IIITH\)

Std\. 7 \- 12, Chinmaya Vidyalaya, Bokaro Steel City

## Public links

- github: https://github\.com/harsv689

[View the original profile](https://tal.club/meet/harshvardhan)

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