---
title: "abhik varma - Senior Software Engineer in Bengaluru | Tal"
description: "Meet abhik varma, engineering @ headout based in Bengaluru. AI stack includes cursor, opencode, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/abhik-varma/share-image"
---

# abhik varma on Tal

## Headline

engineering @ headout

## About

Engineer proficient in Java, Quarkus, PostgreSQL, and Python\. At Locale\.ai, I architected and developed core backend services, enabling alerts through real\-time notifications, escalations, and workflows\. Conducted research at CDSAML, applying reinforcement learning techniques to improve the accuracy of automatic image captioning by 3%\. Holds a BTech in Electronics and Communication Engineering with a minor in Computer Science from PES University\.

## Location

Bengaluru

## AI stack

cursor

opencode

claudecode

## Work experience

Senior Software Engineer at Headout, Dec 2024 \- Present · 1 yr 9 mos

Senior Software Engineer at Locale\.ai, Jun 2022 \- Dec 2024 · 2 yrs 7 mos, • Architected our core workflow builder for AI agents that leverages node outputs and enables RAG across different data sources\. • Built an integration adapter that reduced integration development time from 20 hours to 4 hours, speeding up customer onboarding\. • Designed and developed a comprehensive billing system to facilitate self\-sign\-ups and automated customer billing\. Robustly handles 94% of revenue with clear audit logs\. A two\-phase commit reservation system is used to ensure transactional consistency across distributed services\. • Enabled distributed tracing \(OpenTelemetry\) and metrics \(Micrometer\) for the event\-driven systems, enabling faster identification and resolution of production issues\. • Developed an event\-driven query\-based alerting system capable of scanning 50M rows across databases, APIs and sheets daily to enrich alerts\. Apache Drill was used to query non\-relational data sources\. • Reduced Insights API response time from 8s to 800ms \(P99\) through query optimization and non\-blocking reactive \(concurrent\) code using Mutiny, enabling swift user experiences on the Insights dashboard\. • Implemented scalable two\-way sync notification system handling peak of 125K messages/day \(99% success rate\)\. Enabled automated incident syncing between tools \(Freshdesk\) and communication platforms \(WhatsApp, Slack\), eliminating manual updates\.

Software Engineer at Sling TV, Jan 2022 \- Jun 2022 · 6 mos, Bangalore Urban, Karnataka, India, Engineered seamless integration between Sling's content backend and Google Assistant, enabling intuitive content discovery • Developed a Room Database to hold channel mapping data and supply it through a Content Provider\. • Developed an interface between Google Assistant and Sling's content backend for improved results from voice commands\. • Built an intent logger for debugging Android intents\.

Data Engineer at Affinity Answers, Aug 2021 \- Dec 2021 · 5 mos, Accelerated social affinity data consolidation 25% via multithreading\. Built pipelines, monitoring, and analytics for large\-scale data ingestion • Through the use of Multithreading and Placekeys, sped up the process of consolidating data from different vendors by \~25%\. • Created and maintained Airflow pipelines for daily pre\-processing and ingestion of data from S3 buckets to SQL databases\. • Built dashboards using Superset to monitor ingested data and notify over Slack if abnormalities were detected\.

Branding Deputy Manager at PESU IO, Jan 2020 \- May 2021 · 1 yr 5 mos, Bengaluru, Karnataka, India

Branding Executive at PESU IO, Jan 2019 \- Dec 2019 · 1 yr

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, PES University

Bachelor of Technology \- BTech, Minors in Computer Science Engineering, PES University

## Profile highlights

What I'm currently working on: I am currently building robust backend services at Headout, focusing on high\-scale event\-driven systems and optimizing API performance\.

What's hard for others but easy for me…: Debugging complex distributed systems and optimizing database queries is something I find straightforward compared to most\.

## Public links

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

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

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