---
title: "Nannapaneni Thejesh - Lead Software Engineer in Bengaluru | Tal"
description: "Meet Nannapaneni Thejesh, Lead Software Engineer | thejesh.com based in Bengaluru. AI stack includes anthropic apis, claude code, and github copilot."
image: "https://tal.club/meet/thejesh-nannapaneni/share-image"
---

# Nannapaneni Thejesh on Tal

## Headline

Lead Software Engineer \| thejesh\.com

## About

I am a Senior Software Engineer\(full\-stack\) with a passion for turning ambitious ideas into digital realities\. Based in Bangalore, my expertise lies in engineering scalable and innovative software solutions—and occasionally, engineering a mean badminton serve too\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

github copilot

hugging face

notion

JetBrains AI Assistant

## Work experience

Lead Software Engineer at Sense, Apr 2025 \- Present · 1 y 4 mo, Bangalore, 1\. Promoted from Senior to Lead in under a year; technical anchor across an 8\-engineer team, owning HLD/LLD, architecture reviews, and quality bar 2\. Led Self\-Serve \(agency onboarding\) feature end\-to\-end across 6 multi\-step workflows with branching callbacks: designed HLD/ LLD, mentored and managed a contributing engineer, shipped with just 4 QA bugs 3\. Migrated jobs ingestion from Google Talent to OpenSearch with increased per\-task batch latency from 5s to 2s and throughput up to 300 events/min, with multi\-lingual search 4\. Optimised RDS writer instance’s CPU utilisation from 93% to 27% by introducing SQL Alchemy with read/write splitting, indexing 3 hot queries, and batching repeated reads/writes 5\. Built a DAG based orchestrator for the Faust\-based normalisation service, replacing redundant SKIP\-status transformer runs with true dependency\-aware execution: drastically cut RAM usage 6\. Built multi\-lingual search end\-to\-end requirements, estimation, implementation, rollout; built resume and JD translation flow with extensible OpenSearch schema designed to scale across dialects

Senior Software Engineer at Sense, Jul 2024 \- Apr 2025 · 9 mo, Bangalore, 1\. One of three engineers on a critical team; converted sequential candidate ingestion to a parallel pipeline, batching LLM/API calls across candidates and extracting per\-candidate fields concurrently 2\. Diagnosed and stabilised a chronically failing Solr instance by optimising search queries and tuning the ingestion pipeline 3\. Helped build Rabbit MQ to AWS SQS migration across two async systems, simplifying message\-handling infrastructure

Co\-Founder at Insight, Jan 2024 \- May 2024 · 4 mo, Bengaluru, Karnataka, India, 1\. Backend Lead on a FinTech AI product integrating multiple LLMs; architected backend for 100 concurrent users 2\. Engineered a server\-less scraping pipeline \(AWS Lambda\) aggregating 300–500 finance articles/day from 20 sources 3\. Shipped hybrid search \(keyword \+ semantic\), a daily podcast pipeline with checkpoint tracking, and SmallCase \+ Kite integrations for portfolio and real\-time market data 4, Designed a centralised SQS/SNS event architecture powering personalisation features; managed full cloud setup \(VPC, IAM, RDS, Document DB\)

Software Development Engineer 2 at Wint Wealth, May 2023 \- May 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India

Software Development Engineer at Wint Wealth, Jun 2021 \- May 2023 · 2 yrs, Bengaluru, Karnataka, India

Software Engineer at Scatter, May 2020 \- Jun 2021 · 1 yr 2 mos, India

Intern at National Informatics Center, May 2019 \- Jun 2019 · 2 mos, Greater Hyderabad Area

## Education

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

High School, Mathematics, Sri Chaitanya College of Education

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

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