Senior software engineer (7+ years) delivering impact in cloud infrastructure by improving reliability, scalability, and cost efficiency across load-balancing and compute operations. Own end-to-end delivery (design → rollout → on-call), lead incident response/RCAs, and turn production signals into durable fixes, automation, and operational guardrails—improving fulfillment ~73% → ~96% under higher load, reducing degradation ~90%, and cutting infrastructure footprint ~45%. Looking to create impact in scale, load, and distributed systems.

Technical architecture, speaking opportunities, AI focus, privacy and performance-focused RAG, local LLMs, cloud infrastructure, reliability, scalability, cost efficiency, load-balancing, compute operations, scale, load, distributed systems.

Privacy and performance-focused RAG layer for local LLM running https://github.com/DilipKunderu/chatRag

Akrita Agarwal is a software engineering leader with 9+ years of experience building large-scale distributed systems across AWS, high-growth startups, and Oracle Cloud Infrastructure. She currently architects customer-initiated GPU repair workflows at OCI, integrating hardware diagnostics with scalable cloud orchestration. Previously, she led a data platform transformation at DexCare, driving Databricks adoption and reducing onboarding time by 90%. At AWS, she built ML-powered classification systems at global scale and optimized large data infrastructure for reliability and cost efficiency. She combines deep systems thinking with measurable execution impact.

Distributed Systems & Cloud Infrastructure (9+ yrs): Architect large-scale systems at AWS and OCI, including customer-initiated GPU repair workflows and ML-driven data platforms. Data Platform Leadership: Led Databricks bronze–silver–gold redesign, reducing onboarding by 90% and setup by 84%. ML in Production: Designed full ML lifecycles at scale across billions of records. Technical Leadership: Led teams of 5+, mentored/interviewed 100+ engineers.

Working on building GPU repair workflows Building a legal advice expert software with a practicing CPA, using AI chatbots

Anushree Jana is a Software Engineer at Oracle in Seattle, Washington. She studied Computer Science and Operations and Information Management at the University of Massachusetts Amherst.

Vikram Khatavkar is a Software Engineer III at Oracle in Seattle, Washington, United States, with four years of experience. He studied Computer Science at Binghamton University and Computer Engineering at Savitribai Phule Pune University. He is currently looking for technical co-founders and is open to introductions, preferring contact via email. His technical work includes backend web services and database optimization at Oracle, a Node.js CRUD application, Dockerized deployments on AWS EC2 and Kubernetes, and research in database performance tuning. His projects also encompass a Naïve Bayes spam detector and systems programming on the Xv6 kernel. His stack includes Node.js, Python, Java, SQL, Docker, Kubernetes, and AWS.

Hiring, technical co-founders, AI focus, backend web services, database and query optimization, machine learning, NLP, cloud deployment, AWS, Kubernetes, Docker, systems programming.

Backend web services and database/query optimization at Oracle; a Node.js-based CRUD search application; dockerized modules deployed to AWS EC2 and Kubernetes; and research-focused database performance tuning. Technical artifacts include a Naïve Bayes spam detector, a smartwatch-based hand-wash classifier using Matlab, and low-level systems programming on the Xv6 kernel in C. Stack includes Node.js, Python, Java, SQL, Docker, Kubernetes, and AWS.