---
title: "Haripriya Balasubramanian - Associate Software Developer in Chennai | Tal"
description: "Meet Haripriya Balasubramanian, SDE @ Gen | Ex-Technology-Summer Intern @ Fiserv | Generative AI | Advanced ML | AWS Services | Full-stack Web Development | Web 3.0 | Blockchain Technology | Machine Learning Enthusiast based in Chennai. AI stack includes antigravity, codex, and claudecode."
image: "https://tal.club/meet/haripriya-balasubramanian/share-image"
---

# Haripriya Balasubramanian on Tal

## Headline

SDE @ Gen \| Ex\-Technology\-Summer Intern @ Fiserv \| Generative AI \| Advanced ML \| AWS Services \| Full\-stack Web Development \| Web 3\.0 \| Blockchain Technology \| Machine Learning Enthusiast

## About

I'm an AI/ML Engineer and Software Engineer with experience designing and deploying production\-grade AI systems, cloud\-native applications, and scalable backend services\. I enjoy solving complex engineering problems by combining machine learning, deep learning, high\-performance computing, and software engineering to build reliable, real\-world solutions\. Currently at Gen Digital, I work across two major domains\. I develop cloud\-native features for a cybersecurity Generative AI Assistant using AWS services, distributed microservices, and LLM\-based workflows\. I also lead the development of an Edge AI anomaly detection system that processes over 17 million system and application telemetry records, covering the complete machine learning lifecycle—from data collection and feature engineering to model training, inference, and deployment\. To improve execution performance, I optimized deep learning inference using C\+\+, LibTorch, and CUDA for GPU\-accelerated workloads\. My interests lie in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Edge AI, High\-Performance Computing, Generative AI, and Cloud Computing\. I particularly enjoy designing end\-to\-end AI pipelines, optimizing models for real\-world deployment, and building systems that balance accuracy, scalability, and performance\. Alongside my industry experience, I have published research on enhancing YOLOv8 for small object detection in UAV imagery and on Generative AI assistants, strengthening my interest in applied AI research and production\-focused machine learning\. I hold a B\.Tech in Computer Science and Engineering from SRM Institute of Science and Technology and am currently pursuing an M\.Tech in Artificial Intelligence and Machine Learning\. I believe continuous learning is essential in AI, and I actively explore advancements in deep learning architectures, large language models, reinforcement learning, and GPU computing\. Technical interests include: • Artificial Intelligence & Machine Learning • Deep Learning & Computer Vision • Edge AI & High\-Performance Computing • Generative AI & LLM Applications • Python, C\+\+, CUDA & LibTorch • PyTorch, TensorFlow & Scikit\-learn • AWS Cloud & Distributed Systems • Full\-Stack Development & Backend Engineering I'm always excited to connect with professionals, engineers, and researchers working on challenging AI problems and impactful technologies\.

## Location

Chennai

## AI stack

antigravity

codex

claudecode

## Work experience

Associate Software Developer at Gen, Jul 2024 \- Present · 2 yrs 2 mos, Chennai, Tamil Nadu, India, Spearheaded the AI PC Anomaly Detection module end\-to\-end, from collecting and analyzing 17 million\+ system and application telemetry metrics through production\-ready inference workflows\. Analyzed 50\+ metrics for CPU, GPU, NPU, and memory for behavioral anomaly detection and implemented batch\-based metrics collector\. Performed feature engineering, preprocessing, profiling, analysis, model training, prediction, validation, and inference across CPU and GPU environments\. Designed, trained, and evaluated a personalized attention\-specific deep attention specific VAE\-LSTM\-KDE anomaly detection model for monitoring resource consumption patterns of desktop applications with 98% app detection accuracy\. Accelerated model training and inference using CUDA and LibTorch in C\+\+ for optimized, multi\-threaded GPU\-based execution\. Developed and delivered several critical production features for a cybersecurity GenAI assistant focused on scam detection, privacy monitoring, scam advice, knowledge base system, and personal finance system\. Designed and implemented a Kinesis Firehose transformation Lambda and Step Function wiring to classify user responses as typed inputs or AI\-generated option selections for analyzing efficiency\. Architected a secure, highly\-scalable public wrapper for internal PII redaction modules using API Gateway, Network Load Balancers, and containerized ECS Fargate tasks for secure external usage\. Engineered and stabilized a complex Docker\-based ECS/ECR pipeline by internalizing dependencies using build proxies and Git mirrors\. Enhanced data pipelines with a time\-window\-based technique using S3 and Athena queries to verify telemetry health over configurable durations\. Applied privacy guardrails, prompt relevancy checks, and CI/CD automation improvements, including password rotation workflows and TeamCity notification feature\.

Learner at Coding Club, Jan 2023 \- Present · 3 yrs 8 mos, Remote

Software Developer Intern at Gen, Jan 2024 \- Jul 2024 · 7 mos, Chennai, Tamil Nadu, India, Identified multiple scam types and analyzed execution flows for scam detection investigations\. Designed and implemented feedback pipeline to collect actionable user feedback and improve product insights\. Resolved an intricate free\-form conversational loop defect requiring a larger architectural refactor\. Played a key role in migrating 192 DialogFlow conversational pages and 697 message strings into Amazon Lex CodeHook with 92% pytest coverage with 720 test cases\. Implemented CodeHook deployments in TeamCity using Kotlin DSL with versioning, artifact publishing, deployment orchestration, and dependency validation workflows\.

Technology\-Summer Intern at Fiserv, Jul 2023 \- Sep 2023 · 3 mos, Chennai, Tamil Nadu, India, Designed and developed a responsive full\-stack web application to enhance product portfolio accessibility and usability\. Optimized and integrated an AI chatbot system to support seamless 24/7 communication with users\. Redesigned dashboard insights using Figma and presented solutions to external teams and stakeholders\.

Student Intern at SashiDo\.io, Jan 2022 \- Dec 2022 · 1 yr, Created a Web Application called "QuantumX" using HTML5, CSS, JavaScript, Parse, and Teachable Machine, to learn the first 30 elements of the Modern Periodic Table using an interactive machine learning model\.

Full Stack Engineer at SashiDo, Apr 2021 \- Dec 2022 · 1 yr 9 mos, Developed a responsive educational web application using a machine learning image model for learning scientific concepts interactively\. Implemented secure login and registration functionality using Back4App APIs and Parse framework\.

## Education

Masters of technology, Artificial Intelligence and Machine Learning, Birla Institute of Technology and Science, Pilani

Bachelor of Technology \- BTech, Computer Science and Engineering, SRM IST Chennai

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

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