Engineering, research & community
Work
From physical-layer hardware and radar signal processing to collaborative AI platforms and reliable cloud services.

July 2023–present
Member of Technical Staff
Fusion Data Intelligence
Oracle · Bengaluru
Building dependable control planes for cloud analytics.
I work across database connectivity, subscription systems, security automation, monitoring, and production operations. The common thread is making distributed services safer to change and easier to operate.
Connectivity & reliability
- Implemented walletless production-database connectivity to reduce operational overhead.
- Decoupled database dependencies, migrated REST calls to secure SDKs, and introduced circuit breakers.
Subscriptions & notifications
- Developed trial-subscription flows supporting new customer transactions.
- Added notification batching and established DKIM and DMARC policies.
Cloud & security automation
- Managed integrations across IAM/IDCS, OAC, ADW, Object Storage, and Vaults.
- Automated dependency security updates and streamlined region rollouts, including government realms.
Operational excellence
- Implemented zero-downtime backfills and improved fleet dashboards, activity logs, and proactive metrics.
- Resolved production issues on call and built low-latency database and hot-patching tools.
Recognition: Above and Beyond Award, Oracle Analytics and AI organization.
Earlier product work
Security analytics and international AI collaboration.
May–July 2022Oracle · Fusion Analytics Warehouse
Server Tech Intern
Developed a machine-learning detector for identifying susceptible actions in system activity logs, then built an end-to-end demonstration platform in Oracle APEX.
July 2022–June 2023Global Partnership on Artificial Intelligence
Student Associate · Future of Work
Worked with Prof. Uday B. Desai to build a web platform where international AI research communities could collaborate and share their work. Presented the initiative on the Future of Work Student Community Panel at the 2022 GPAI Summit in Japan.
About Future of WorkResearch & systems foundations
Before cloud infrastructure, I worked closer to the signal.
These internships shaped how I think about the full stack, from physical-layer hardware and sensing algorithms to the services that eventually operate them.

5G NR physical-layer engineering
Worked with the WiSig Networks / IIT Hyderabad 5G Testbed physical-layer team. Developed modules and hardware IP cores for system-on-chip design using Vivado HLS, Vitis, and embedded programming.
About WiSig
Machine learning for radar processing
Investigated machine-learning alternatives to traditional radar signal-processing algorithms, focusing on pulse repetition interval estimation at DRDO’s Advanced Systems Laboratory in Hyderabad.
About ASLTeaching & mentorship
Making technical ideas easier to work with.
Alongside research and engineering, I have supported classroom learning and peer-led technical communities at IIT Hyderabad.
IIT Hyderabad
Teaching Assistant
Data Structures and Applications (ID2230)
Supported the course taught by Prof. Rameshwar Pratap and Prof. Maunendra Desarkar. Tutored students and helped conduct evaluations across lists, stacks, trees, AVL trees, hash maps, generic algorithms, and complexity analysis.
IIT Hyderabad · 2019 to 2021
Mentor and core member
Elektronica SciTech Club
Supported peer learning in electronics and helped students turn technical ideas into hands-on club projects. I contributed first as a core member and later as a mentor.
Building with communities
Early-stage engineering and service.

CloudGlance
Founding engineer · Early stage
Worked briefly on the earliest engineering foundations for AI-assisted document intelligence.
Visit CloudGlance
Bitshala
Volunteer
Contribute to a community supporting Bitcoin FOSS developer education and open technical learning.
Visit BitshalaOracle Volunteers
Member · 2023–present
Active contributor to corporate social responsibility and volunteering initiatives.
Selected technical work
Projects beyond the job description.
Research prototypes and hands-on builds have been a recurring way for me to learn new systems.
Python · PyTorch · OpenCV
Project Album
Built an end-to-end photo-classification pipeline using OpenCV and deep learning, including face recognition and classification workflows.