Software Engineer · SF Bay Area
Building systems
that scale
and endure.
Backend engineer specialising in distributed systems and cloud infrastructure. Currently at Oracle OCI. AWS Certified. MS from UC San Diego.
Experience
Where I've built things
Jun 2025 – Present
Oracle
Santa Clara, CA
Software Developer 2 — Object Storage, OCI
Design, develop, and maintain highly available distributed storage systems powering Oracle Cloud Infrastructure. Work spans full lifecycle — architecture, implementation, debugging, and performance tuning — on systems serving enterprise-scale, high-throughput workloads.
JavaDistributed SystemsOCIHigh AvailabilityCAP TheoremMulti-tenancy
Feb 2021 – Jun 2025
MileZero
SF Bay Area, CA
Software Engineer — Logistics Platform
Led core backend development for a cloud-native last-mile delivery platform serving the US and Australia. Built a multi-protocol file ingestion pipeline (S3/SFTP/GCP), migrated a global holiday config system to DynamoDB cutting peak downtime by 20%, and integrated CloudWatch + Slack observability.
JavaSpring BootAWS LambdaDynamoDBSQSDockerGitHub Actions
Apr 2019 – Feb 2021
UC San Diego
San Diego, CA
Graduate Student Researcher — Healthcare Robotics Lab
Advised by Dr. Laurel Riek at the Contextual Robotics Institute. Developed preference-learning technology for people with MCI/Dementia to enable long-term personalised robotic assistants. Published at ACM/IEEE HRI. Also TA for ECE 128A/B Power Grid courses.
RoboticsMLPythonHRI ResearchPublication
Aug – Dec 2019
NeuraLace Medical
San Diego, CA
Software Engineer Intern — Robotics & Computer Vision
Integrated NDI Polaris Vega and Intel RealSense vision systems with a UR5 six-axis collaborative robot for neuro-therapy. Built C# modules to compute spatial deltas and convert them to robot movement commands via UR Script.
C#C++Computer VisionRobotics
Jul 2016 – Jul 2018
JK Tyre & Industries
Mysore, India
Senior Engineer → Graduate Engineering Trainee
Monitored energy parameters in SCADA systems and implemented efficiency projects reducing power consumption by 8% — exceeding targets by 4%. Upgraded PLC stations S7-300 → S7-1500 and installed Siemens TP700 HMI systems.
SCADAPLCSiemens HMIAutomation
Skills
What I work with
☁️
Cloud & Infrastructure
AWS (Lambda, S3, SQS, DynamoDB, EC2, CloudWatch) · Oracle OCI · GCP · Docker
🏗️
Backend & Systems
Java · Spring Boot · REST APIs · Distributed Systems · High Availability · Fault Tolerance
🗄️
Data & Messaging
DynamoDB · SQS · Event-driven architecture · XML/CSV parsing · Factory design pattern
🔭
Observability & DevOps
CloudWatch · Slack alerting · GitHub Actions · Agile (Scrum, Kanban) · Unit & E2E tests
🤖
ML & Robotics
Statistical learning · Computer vision · Human-robot interaction · Preference learning · C# / C++
📜
Certifications
AWS Certified Solutions Architect · Business English Certificate · DELF A2 (French)
Projects
Things I've shipped
Cloud · AWS↗
Multi-Protocol File Ingestion Pipeline
Production pipeline supporting S3, SFTP, and GCP ingestion with CSV/TXT/XML parsing. Decoupled architecture using DynamoDB, SQS, and the factory pattern. Deployed at MileZero.
JavaSQSDynamoDBS3
Distributed Config · AWS↗
Global Holiday Config System
Led migration from local caching to globally accessible DynamoDB infrastructure, reducing peak-traffic downtime by 20%. Paired with CloudWatch alarms and Slack-based automated alerts.
DynamoDBJavaCloudWatchAWS Lambda
Robotics · Research↗
JESSIE — Personalised Neurorehabilitation Robot
Preference-learning tech for a social robot adapting behaviour to individuals with MCI/Dementia. Published at ACM/IEEE HRI 2021 at UC San Diego Healthcare Robotics Lab.
PythonMLRoboticsHRI
Computer Vision · Robotics↗
Robot Tracking for Neuro Therapy
Integrated NDI Polaris Vega and Intel RealSense with a UR5 robot. Built C# modules to compute spatial deltas between tracker position and robot pose, converting to UR Script movement commands.
C#C++Computer VisionUR5
Research
Published work
📄
ACM/IEEE International Conference on Human-Robot Interaction
JESSIE: Synthesizing social robot behaviors for personalized neurorehabilitation and beyond
Vaishali Rajendren · UC San Diego Healthcare Robotics Lab · Advised by Dr. Laurel Riek
Research developing preference-learning technology for people with MCI/Dementia, enabling long-term customised robotic assistants.
Research developing preference-learning technology for people with MCI/Dementia, enabling long-term customised robotic assistants.
Notes & Writing
Reading notes & thoughts
Coming soonPaper Notes
Notes on Dynamo: Amazon's Highly Available Key-Value Store
My reading notes on the 2007 Amazon paper that introduced eventual consistency, consistent hashing, and tunable CAP trade-offs.
→ 8 min read
Coming soonDistributed Systems
What building object storage at OCI taught me about fault tolerance
Lessons from working on enterprise-grade distributed storage — the gap between theory and what production systems actually need.
→ 6 min read
Coming soonPaper Notes
Notes on The Google File System
Reading notes on Google's foundational distributed filesystem paper — chunk size, replication, and master node bottlenecks that shaped a generation of storage systems.
→ 7 min read
"From PLC programming in Mysore to distributed storage at Oracle Cloud — always building, always learning."
I'm a backend engineer with roots in electrical engineering. My career has taken me from automating manufacturing systems in India to building cloud-native logistics platforms in San Francisco, and now designing enterprise-scale distributed storage at Oracle OCI.
My MS at UC San Diego in Intelligent Systems & Robotics gave me a strong foundation in ML and research — including published work in human-robot interaction. I'm currently deepening my expertise in large-scale distributed systems and system design.
Outside of engineering: training for a half marathon, learning French (DELF A2), and fluent in Telugu, Tamil, Hindi, Kannada, and English.
☁️ Cloud Infrastructure🏃 Half Marathon Training🇫🇷 Learning French📚 Paper Reader🌏 5 Languages
Education
Academic foundations
Master of Science
UC San Diego
Electrical & Computer Engineering · 2018–2020
Specialisation in Intelligent Systems, Robotics & Control. Coursework: Statistical Learning, ML for Image Processing, Human-Robot Interaction, Sensing & Estimation, Planning & Learning in Robotics.
Bachelor of Engineering
RMK Engineering College
Electrical & Electronics Engineering · 2012–2016
Foundation in electrical systems and automation. Certificate of Honor at IndoUS Robo League National Round. 7th rank in Post Graduate Diploma in Indian Rubber Institute.