Aditya Kumar
Software Engineer · Bangalore, India
Software Engineer with 5 years of experience building large-scale systems serving 3M+ users. High-agency engineer with end-to-end ownership, from identifying opportunities and navigating stakeholder requirements to driving technical execution and deployment. Deep expertise in backend systems and Machine Learning infrastructure at scale.
Experience
Kirana Club | Software Development Engineer | Jan 2023 – Present
- Architected and led the development of a unified e-commerce platform (Go, Next.js) that orchestrates the complete order lifecycle for thousands of daily transactions, integrating a custom Order Management System (OMS) with automated logistics allocation and warehouse management for hundreds of sellers.
- Developed a centralized suite for SKU cataloging, automated pricing, and coupon management alongside a real-time analytics platform to track sales trends and supply chain bottlenecks, reducing order processing time from hours to near-instantaneous while significantly improving delivery success rates.
- Built an end-to-end customer support platform with designing the ticketing interface, agent workflow, and automated routing/priortisation logic to manage thousands of daily inquiries. Streamlined processes across users, agents, and sellers to resolve exceptions, reducing Turnaround Time (TAT) from hours to minutes and directly driving increased repeat orders.
- Engineered a high-performance spatial service using SQL spatial indexing and H3 Grid Indexing with bounding box optimizations, achieving <30ms latency for reverse geocoding and <100ms p99 for “Nearby Users” queries.
- Designed and deployed a self-managed ClickHouse cluster to handle 20M+ daily events for high-velocity impression data, optimizing data modeling and partitioning for high-throughput analytics.
Retail Pulse | Machine Learning Engineer | Aug 2020 – Jan 2023
- Architected and deployed a multi-stage product recognition pipeline for Indian retail environments combining YOLO object detector(trained on 25k+ images), DML embeddings(trained on 5M+ images) with FAISS-based matching, quality filtering, and screen recapture detection. The pipeline achieved 92% product-level and 85% SKU-level accuracy across 25,000+ SKUs, processing 10M+ images/month in production.
- Developed a client-facing analytics platform visualizing real-time store execution metrics, enabling major FMCG clients to monitor shelf compliance and stock availability.
Sparrosense | Data Science Intern
- Developed self-supervised steel pouring classification in steel manufacturing process.
Humonics Global | Data Science Intern | Jun 2019 – Jan 2020
- Built instance segmentation models for automated car insurance claims achieving 0.8 mAP and optimized the inference pipeline using TorchScript and C++ to achieve a 1.5x speedup in production.
Technical Skills
- Languages: Golang, Python, JavaScript/TypeScript, SQL, C++
- Backend & Systems: FastAPI, Node.js, Next.js, gRPC, Docker, RabbitMQ, System Design
- Databases & Storage: PostgreSQL, Redis, Firebase, ClickHouse, Elasticsearch, Uber H3
- Machine Learning: PyTorch, Computer Vision (YOLO, OpenCV), Deep Metric Learning, Model Serving
Education
Guru Gobind Singh Indraprastha University | New Delhi, India B.Tech in Electronics and Communication Engineering | 2017 – 2021
Achievements
- Open Source Contributor: Contributed to OpenCV library with merged PRs.
- Scholarship: Recipient of Secure and Private AI Scholarship from Facebook and Udacity.