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

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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