---
title: "Balaji MJ - Software Engineer in Bengaluru | Tal"
description: "Meet Balaji MJ, Engineering @ Algonomy based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/balaji-mj/share-image"
---

# Balaji MJ on Tal

## Headline

Engineering @ Algonomy

## About

Backend Engineer with \~ 5 years of experience building scalable microservices in Java and Spring Boot — distributed systems, high\-throughput REST APIs, event\-driven architecture \(Kafka\), caching \(Redis\), and data pipelines on AWS\. Also hands\-on with Python for tooling and data services\. Stack: Java, Spring Boot, Hibernate/JPA, Python, Kafka, Redis, Elasticsearch, MySQL, DynamoDB, AWS, Docker, Kubernetes, Microservices\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

codex

cursor

langgraph

## Work experience

Software Engineer at Algonomy, Apr 2023 \- Present · 3 yrs 6 mos, Bengaluru, Karnataka, India, • Architected an extensible Connector Framework using Factory and Template Method design patterns, powering reliable, high\-throughput data exchange with 15\+ ad and marketing platforms \(Facebook Ads, TikTok, Google Ads, Amazon S3, DotDigital\); centralized credential encryption, paginated extraction, and connection lifecycle management — cutting new connector build time from weeks to 4–5 days\. • Developed Customer Affinity REST APIs backed by AWS Athena, enabling analytical queries and visualization over large\-scale customer behavioral datasets\. • Designed and implemented end\-to\-end Multi\-Factor Authentication \(TOTP / Google Authenticator\) for a multi\-tenant SaaS platform, with per\-tenant configuration and admin\-triggered MFA reset for device\-loss recovery\. • Implemented a hybrid connector authentication model — encrypted stored credentials for static\-auth connectors and Redis\-cached OAuth tokens for token\-based integrations\. • Built the Manage Metadata module end\-to\-end \(API \+ DB \+ UI\), making the platform's data schema user\-extensible; new data models instantly surface as segment types, eliminating engineering involvement in schema onboarding\. • Built a Python\-based data sync service integrating Google Postmaster Tools APIs with a PostgreSQL store — containerized with Docker and surfaced as an embedded email\-deliverability dashboard, giving teams observability into email authentication and spam metrics\. • Improved platform stability by resolving 25–35% of sprint bugs, applying TDD and refactoring legacy monolithic code into modular services\.

Software Development Engineer at DealShare, Jan 2022 \- Mar 2023 · 1 yr 3 mos, Bengaluru, Karnataka, India, DealShare, a $1\.3B\-valued Indian unicorn, is one of the largest social\-commerce\-driven grocery platforms in the country, serving millions of customers\. • Designed and optimized core e\-commerce REST APIs \(Cart, Checkout, Payments\) handling 0\.5M\+ daily requests at 99\.9% availability during peak sale events\. • Built the "Gullak" gamification engine with high\-concurrency distributed state management, driving a 35% increase in daily active users and repeat transactions\. • Reduced Order History API latency by 2–3 seconds via a Redis distributed caching strategy, achieving sub\-second response times under high load\. • Architected a "Slot\-Wise Delivery" system from scratch with real\-time inventory synchronization across 60\+ pin codes, reducing order fulfillment errors\. • Handled on\-call support and deployed production fixes within SLA\.

Autonomous Driving Research Intern at Continental, Dec 2019 \- Aug 2020 · 9 mos, Greater Bengaluru Area, • Developed distributed deep learning models for object tracking in autonomous driving scenarios\. • Designed a Multi\-Task Learning algorithm for distributed training of Pedestrian Detection, Lane Tracking, and Object Tracking under a shared loss function, improving training efficiency and model performance\. • Built a joint training pipeline on radar\-scene data using TensorFlow 2\.0, collaborating with an advanced engineering team on an AI framework for autonomous vehicles\. • Successfully defended a thesis based on this work\.

Winter Researcher \- Intern at Indian Institute of Science \(IISc\), Dec 2018 \- Jan 2019 · 2 mos, Bangalore, Worked on Developing and Improving Face Recognition Algorithm\. Reimplemented Google's Facenet algorithm and tried improving different methods\.

Research Intern at Indian Institute of Science \(IISc\), May 2018 \- Jan 2019 · 9 mos, Bengaluru Area, India, Extensively worked on Biomedical Image Processing\. Worked on Spline Interpolation For Active Shapes for Glaucoma Detection\.

## Education

Bachelor of Technology \(BTech\), Electronics and Instrumentation Engineering, Manipal institute of technology

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

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