Headline

RFP Multi-Tenant SaaS @Oracle | Forward Deployed Engineer | EE IIT Kanpur

About

I’m a backend and distributed systems engineer with 4 years of experience building reliable, scalable platforms that solve real business problems. At Oracle, I’ve led the design and development of enterprise systems focused on automation, high availability, and large-scale data workflows. Recently, I architected RAPID RFP, a production Generative AI platform that reduced RFP turnaround from weeks to under 2 days, replacing third-party tooling and delivering ~$500K+ in annual savings. I designed durable event-driven workflows, background processing systems with Redis worker pools (~99.9% uptime), and streaming pipelines that improved time-to-first-response by ~50%. The platform is now used by senior leadership across the organization to accelerate strategic deals. I’ve also built a zero-downtime Exadata migration orchestration platform that reduced manual effort by ~95% and enabled safe, concurrent infrastructure migrations across environments. My work focuses heavily on concurrency, fault tolerance, retry-safe execution, and production reliability. I enjoy solving complex system design problems, especially around distributed workflows, high availability, and data-intensive systems. I care about clean architecture, measurable impact, and building systems that are resilient in real-world conditions. I’m particularly interested in backend, infrastructure, and AI platform roles where I can work on large-scale systems and contribute to engineering culture and technical leadership. Core areas: Distributed systems | System design | Java | Python | Event-driven architectures | Reliability | RAG & LLM platforms | Cloud infrastructure.

Location

Bengaluru

AI stack

antigravity

opencode

claudecode

Work experience

Senior Data Systems Software Engineer at Oracle, May 2026 - Present · 4 mos, Bengaluru, Karnataka, India

Senior Member of Technical Staff at Oracle, Sep 2024 - Jun 2026 · 1 yr 10 mos, India, RAPID RFP Enterprise Generative AI Platform 1. Architected and delivered a production Generative AI system that reduced RFP turnaround from 4 weeks to under 2 days (~90% faster), replacing multiple third-party tools and driving ~$500K+ in annual savings. 2. Designed durable Run+Event Log architecture persisted in Oracle DB to support long-running LLM workflows with replay, auditability, and crash recovery, reduced debugging time by ~80%. 3. Built a reliable background processing layer using Redis + RQ worker pools with retry-safe execution and horizontal scaling, maintaining ~99.9% system uptime. 4. Implemented SSE streaming backed by Redis Streams for token-level incremental delivery and resumable sessions, improving user-perceived time-to-first-response by ~50%. 5. Architected fine-grained multitenant RBAC and collaborative-edit safeguards to enforce tenant isolation and eliminate cross-tenant data exposure risks. 6. Engineered a scalable web-crawling + RAG ingestion pipeline, indexing 30k+ documents into Oracle Vector DB and improving answer precision from ~60% to ~90% via structured chunking and retrieval re-ranking. 7. Platform adopted by 20+ EVPs and 50+ sales leaders, enabled faster deal response and a projected 60% increase in RFP win rate.

Member Of Technical Staff at Oracle, Jul 2022 - Sep 2024 · 2 yrs 3 mos, Bengaluru, Karnataka, India, Zero-Downtime Exadata Migration Orchestration 1. Designed and implemented a concurrent, idempotent workflow engine enabling zero-downtime Exadata migrations; reduced manual effort by ~95% and rollback incidents by ~40%. 2. Packaged orchestration as a GraalVM native binary to cut startup latency by ~90%, shrinking migration windows from weeks to hours. 3. Automated CI/CD with GitLab runners and built a multithreaded job framework to allow controlled parallelism and safe infrastructure transitions, enabling 80% faster hotfix deployment. 4. Led cross-functional migration planning with infra, DB, and app teams — trained 300+ engineers through hands-on workshops; this training reduced support tickets by 60% and sped up project completion by 20%.

Software Engineer Intern at ByteLearn.com, Feb 2022 - Jul 2022 · 6 mos, Remote, During my internship at ByteLearn.com, I contributed to the development of an AI-driven interactive chatbot designed to assist learners with math problems. My role went beyond coding, I focused on building a tool that enhanced the learning experience by streamlining backend processes using Python scripts and Jinja templates, achieving a 30% reduction in response times during peak hours. Working closely with the team, I integrated machine learning algorithms into the framework, making the user experience more intuitive and effective. Additionally, I implemented thorough testing processes that improved interaction quality and resulted in a 20% decrease in user queries about functionality. This experience reinforced my passion for creating scalable, learner-focused solutions that combine technical innovation with real-world impact. Key Competencies: Machine Learning Integration | Backend Development | User Experience Design

Bitcoin Core Intern at Summer of Bitcoin, Jul 2021 - Sep 2021 · 3 mos, During my internship with Summer of Bitcoin, I contributed to enhancing the security and reliability of Bitcoin Core by implementing differential fuzz tests across cryptographic components such as ChaCha20 and Poly1305. This work involved comparing outputs across implementations in C and C++ to identify potential inconsistencies and strengthen resilience against edge cases. In addition to coding, I collaborated with core developers by reviewing, testing, and rebasing feature PRs, helping accelerate their path to merge. My contributions provided valuable insights into Bitcoin’s consensus mechanism, P2P protocol, and blockchain security fundamentals, while improving testing coverage for critical cryptographic modules. This experience gave me hands-on exposure to large-scale open-source collaboration, reinforced my skills in fuzz testing and cryptography, and deepened my interest in building secure, high-performance systems. Key Competencies: Blockchain Security | Cryptographic Algorithms | Fuzz Testing | Open Source Collaboration

Coordinator at Robotics Club, IIT Kanpur, May 2020 - Apr 2021 · 1 yr, India

Secretary at Robotics Club, IIT Kanpur, Apr 2019 - May 2020 · 1 yr 2 mos

Team Member at HUMANOID IIT KANPUR, Nov 2018 - Mar 2020 · 1 yr 5 mos, India

Education

Bachelor of Technology - BTech, electrical engineering, Indian Institute of Technology, Kanpur