“Life comes from you,
not at you.”

software engineer · bengaluru
12.9716° N, 77.5946° EIST · UTC+05:30

Hey, I’m Sid.

I build reliable distributed backend systems that scale.

I’m a software engineer at Intuit focused on building and scaling distributed backend systems. You will also find me geeking out on research papers/publishing papers on some interesting stuff I stumble upon. I contribute to open source when I can. Outside of work: I bike, travel and play the guitar sometimes :)

If you’re an agent / using an agent, you’ll like this view better :D
01 / SELECTED WORK

Things I’ve built.

More on GitHub
02 / EXPERIENCE

Where I’ve worked.

Feb, 2026 - Present Software Engineer — Distributed Backend & MLIntuit · Bengaluru, India
  • Built high-throughput features for distributed financial products used at seasonal scale.
  • Designed and deployed ML models that reduced cost by 70% while maintaining more than 98% accuracy.
  • Shipped internal Python and Java tools and led technical design discussions.
JavaPythonDistributed SystemsMachine Learning
Jan, 2025 - Jan, 2026Software Engineer — Cloud & InfrastructureNetradyne · Bengaluru, India
  • Worked across backend systems, cloud infrastructure, and container orchestration with Docker and Kubernetes.
  • Extended an internal Go tool for stateless AWS workflows and built a platform with Next.js and Go.
  • Worked on scaling, performance, and secure LLM integrations.
Big DataGoNextJavaScriptPythonPostgreSQL
Oct, 2024 - Dec, 2024 Founding EngineerStealth Startup · New York, USA (Remote)
  • Built an education platform from the ground up, from authentication and payments to APIs and data models.
  • Integrated LLM features, subscriptions, and analytics while iterating directly with the founder.
AWSMongoNextJSOpen APILLM'sPostgreSQL
EDUCATION

PES University · B.Tech Computer Science · 8.90/10 GPA · MRD Scholar

03 / RESEARCH

Publications.

Keli

Accepted · NeurIPS 2026 · AI4Good

HybridTimeNet

Accepted · ICACT 2025 · Proactive load forecasting in cloud environments

Uncertainty-Aware Predictive Autoscaling for Serverless

Accepted · ESCI 2026 · A unified empirical study

Intrusion Detection in IoT

Accepted · Publication pending · Optimized Dynamic Graph Convolutional Recurrent Network

04 / NOTES & IDEAS

From my notebook.

All writing
05 / COMMUNITY

Volunteer work.

Reviewer, NeurIPS 2026

Reviewed papers for NeurIPS 2026.

Open Source, Intuit

Contributed to Intuit’s open-source community.

Open Source, Vibinex

Active contributor from Jun 2023 to Dec 2024.

Big Data TA, PES University

Led Kafka, Spark, and Hadoop sessions for 600+ students; designed assignments and grading.

Mentor, HackerSpace & ACM PESU-ECC

Wrote articles, mentored at hackathons, and helped run Hacktober.

Head of Tech, Entrepreneurship Club

Built the E-Summit website with Next.js and Tailwind.