Headline

Software Engineer · MS @Georgia Tech • Amazon (prev)· Backend & Distributed Systems · Python, Java, AWS · IIT Roorkee AI ·

About

I build backend and data systems that run at scale — currently as a Software Engineer at Bank of America, and previously as an SDE Intern at Amazon where I worked on production-grade backend services. I'm also completing a certification program in Software Engineering with AI at IIT Roorkee, deepening my work at the intersection of systems engineering and applied ML. My engineering focus spans backend systems, distributed data pipelines, automation, and reliability — with production experience using Python, SQL, Java, and AWS. I care about writing systems that hold up: clean architecture, measurable performance, and impact that's visible in the numbers. I've built and shipped alongside teams at Amazon, Bank of America, and through Headstarter AI, where I developed AI-powered applications during a six-month fellowship. Outside of work, I actively sharpen my skills in data structures, algorithms, and system design — the foundation I rely on when the problem is genuinely hard. Competitive signal: JPMC Code for Good Winner. Infocepts Innovate for Impact Scholar. IEEE and Microsoft Learn Student Ambassador. I'm drawn to teams working on systems that scale and software that solves real problems. Open to conversations around backend engineering, AI systems, and distributed infrastructure.

Location

Greater Chennai Area

AI stack

antigravity

codex

cursor

Work experience

Software Engineer at Bank of America, Aug 2025 - Present · 1 yr 1 mo

Fellow at Rewriting the Code, Mar 2024 - Present · 2 yrs 6 mos

Software Dev Engineer Intern at Amazon, Jan 2025 - Jun 2025 · 6 mos, Shipped three backend projects in six months across internal tooling, distributed pipelines, and security infrastructure — each owned end-to-end and deployed to production. • Eliminated ~25 Sev2 incidents/month by tracing and fixing failures in a production event-driven pipeline across distributed services; saved 20+ engineering hours monthly. • Delivered a 2ms-latency security package across 7+ services on deadline — full lifecycle ownership from design through containerised CI/CD deployment with CloudWatch observability. • Built an encryption/decryption utility now used daily by on-call engineers, cutting investigation and debugging time by 30% through testable, extensible design.

Software Engineering Fellow at Headstarter AI, Jul 2024 - Dec 2024 · 6 mos, Remote

Intel Unnati Industrial Training Fellow at Intel Corporation, May 2024 - Jul 2024 · 3 mos, remote, The Intel® Unnati Industrial Training Program encourages students from institutions in India that are part of the Intel® Unnati Community to participate in a month-long, project-based training. During this intensive training period, students have the opportunity to work under the guidance of industry and Intel mentors on real-world, industry-relevant challenges and solutions using emerging technologies. This is exclusive to colleges and universities with Intel® Unnati Labs, and is aligned to AICTE recommended industry exposure requirements for engineering and technology institutions in India.

Education

Software Engineering with AI, Computer Science, Indian Institute of Technology, Roorkee

Bachelor's degree, Computer Engineering, Vellore Institute of Technology

Public links

github: https://github.com/harxnee