Headline

SDE2 @ Capital One | NITK Surathkal

About

I’m a Software Engineer II specializing in backend, platform, cloud, and data-intensive systems. I build production-grade applications using Java, Python, Spring Boot, FastAPI, Apache Kafka, AWS, Apache Spark, PostgreSQL, and event-driven microservices. At Capital One, I have worked across customer onboarding, distributed backend services, data pipelines, API performance, and database reliability. I designed and built a Backend-for-Frontend service that reduced customer onboarding time from more than two days to under one hour, while eliminating a 48-hour manual escalation process through automated validation and workflow orchestration. Previously, I helped build a self-serve advertising platform supporting 15,000+ US car dealerships. I developed Spring Boot and Kafka-based services to process and publish thousands of vehicle records daily, implemented retry and recovery mechanisms, optimized API latency to 100 ms or less, and improved Aurora PostgreSQL failover times by more than 90% through HikariCP and connection-management tuning. My work also includes building AWS Glue and Apache Spark ETL pipelines, deploying applications on ECS Fargate, designing REST APIs and microservices, working with React and micro-frontends, and integrating OpenAI APIs into production applications. I built an AI-assisted investment research platform for a Singapore-based hedge fund using FastAPI, RDS PostgreSQL, React, ECS Fargate, and document-analysis workflows. Core skills: Backend Engineering, Platform Engineering, Distributed Systems, System Design, Java, Python, Spring Boot, FastAPI, Apache Kafka, AWS, AWS Glue, Apache Spark, PostgreSQL, Aurora PostgreSQL, REST APIs, Microservices, Event-Driven Architecture, ETL Pipelines, API Performance Optimization, Database Reliability, Observability, New Relic, Splunk, JMeter, React, OpenAI APIs, PyTorch, and TensorFlow. I’m particularly interested in solving complex backend and platform engineering problems involving scale, reliability, performance, data processing, and developer productivity.

Location

Bengaluru

AI stack

claude code

gemini

langgraph

openai

windsurf

Work experience

Senior Associate (SDE 2) at Capital One, Jan 2026 - Present · 8 mos, Slashed customer onboarding time from 2+ days to under an hour by architecting a purpose-built Backend-for- Frontend (BFF) from scratch, establishing a highly scalable micro-frontend (MFE) integration pattern. • Implemented automated validation and onboarding workflows that eliminated a 48-hour manual escalation process, enabling customers to onboard immediately following sales engagement. • Engineered automated ETL workflows via AWS Glue(Apache Spark based runtime), optimizing data processing efficiency for Google Ads marketing campaigns improving the reliability of downstream marketing data used in performance decision-making • Drove adoption of AI-assisted software development practices across multiple engineering teams through workshops, onboarding sessions, and reusable engineering patterns, increasing developer productivity and accelerating feature delivery.

Software Associate at Capital One, Jul 2024 - Jan 2026 · 1 yr 7 mos, Designed and shipped a self-serve platform to onboard 15,000+ US car dealerships to Google Ads, enabling a new revenue stream and processing thousands of vehicle records daily • Built event-driven backend services using Spring Boot and Kafka to publish vehicle inventory into Google Merchant Center, reliably processing thousands of records daily through automated retry and recovery mechanisms. • Drove multiple optimization efforts which included reducing API response times to ≤100ms to enhance search performance and dealer user experience(performance tested with JMeter) and optimizing Aurora Postgres failover by fine-tuning HikariCP configurations, cutting switchover time by over 90%, improving system resiliency and uptime

Machine Learning Engineer at NEETPrep GoodEd Technologies Private Limited, Dec 2023 - Apr 2024 · 5 mos, Remote

Machine Learning Researcher at HALE Lab, Aug 2023 - Dec 2023 · 5 mos, Mangaluru, Karnataka, India, Developed a remote water-body monitoring system using satellite imagery and image-segmentation techniques, reducing dependence on manual environmental monitoring processes. • Compiled multiple Python scripts that retrieve Sentinel-2 TIFF images (Microsoft’s Planetary Computer (STAC API) & calculate spectral indices) & merge large CSV files (3-4GB) into parquet format using the Dask Library which is essential for large-scale remote sensing applications.

Head of Artificial Intelligence at Web Enthusiasts'​ Club NITK, Apr 2023 - Dec 2023 · 8 mo, Mangaluru, The head of the AI special-interest group in Web Enthusiasts’ Club at NITK

AI Special Interest Group Secretary at Web Enthusiasts'​ Club NITK, Apr 2022 - May 2024 · 2 y 1 mo, Mangalore

Web Enthusiast's Club at Web Enthusiasts'​ Club NITK, 2021 - Dec 2023 · 2 y 11 mo, Mangalore

IEEE Executive Member at IEEE Computer Society, 2021 - Dec 2023 · 2 y 11 mo, Mangalore

Education

Bachelor's degree, Information Technology, National Institute of Technology Karnataka

12th Grade, Deeksha Center for Learning

Public links

github: https://github.com/harry7337

leetcode: https://leetcode.com/harry16614