
Founder + Engineer
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Software Development Engineer with a Masters in Computer Science (AI/ML) and 8 years of industry experience. My expertise has been with AI/ML related to Search and Conversational AI, specifically RAG (Retrieval Augmented Gen AI). I have experience in building Enterprise-ready production systems from ground up, all the way to scale to tens of thousands of customers. I dominantly work at the intersection of Engineering and ML, building whatever it takes to solve problems.
UC Irvine
Master of Science (MS), Computer Science
January 1, 2016 – January 1, 2017
RV College Of Engineering
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering
January 1, 2010 – January 1, 2014
One Zyme
Co-Founder and CTO
September 1, 2025 – Present
United States · Remote
Samaya AI
Software Engineer/ Member of Technical Staff
September 1, 2024 – September 1, 2025
Mountain View, California, United States · Remote
Amazon Web Services (AWS)
Senior Software Development Engineer / Engineering Manager
April 1, 2024 – September 1, 2024
Stonovation
Co-Founder and CTO
July 1, 2021 – December 1, 2023
United States
Amazon Web Services (AWS)
Software Development Engineer II
February 1, 2020 – April 1, 2024
Amazon Web Services (AWS)
Software Development Engineer
February 1, 2018 – April 1, 2020
Amazon Web Services
SDE Intern
July 1, 2017 – September 1, 2017
Seattle, Washington, United States
ShoreTel
Software Engineer
July 1, 2014 – August 1, 2016
Bangalore,India
Robert Bosch Engineering and Business Solutions
Intern
January 1, 2014 – June 1, 2014
Bangalore,India
Indian Institute of Science
Research Assistant
June 1, 2013 – August 1, 2013
Bengaluru, Karnataka, India
Connect-K Artificial Intelligent (AI) Agent
September 1, 2016 – Present
– Developed an advanced AI engine for Connect-K game which follows all the rules of the game similar to Connect-4 with additional features. – Implemented Min-Max algorithm (game strategy) with alpha beta pruning algorithm, iterative deepening search in order to achieve a depth of 7 within 5 seconds. The agent was ranked among top 10% of all the AI designed during the course.
Implementation of a Database Management System in C++
September 1, 2016 – Present
– Developed a paged file system and tuple oriented record manager over the paged file system. – Implementation of a relation manager over record based files, a B+ tree to maintain index and a query engine for relational operators.
Image Based Search Engine
June 1, 2014 – Present
– As part of indroductory crash course to Artificial Intelligence, developed an image based search engine – Search engine was based on Histogram calculation of training data, Predicting the top 20 of the closest matching images to input image based on chi-square distance.
MQTT (Message Queuing and Telemetry Transport) based IoT (Internet of Things)
January 1, 2014 – June 1, 2014
Developed a prototype model of MQTT clients to publish generic information like temperature and pressure level.
Hands-on With Elk, Logstash & Kibana Training
SpringPeople
June 23, 2026 – Present
Core Elasticsearch For Developers Training
SpringPeople
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, ranging from deep technical roles at AWS to entrepreneurial ventures, suggests adaptability and a proactive approach to learning and growth. Their involvement in building AI for various sectors (Connect-K, financial markets, pharma/biotech, enterprise search) demonstrates a broad interest in applying technology to different domains. The target role of Backend Engineer aligns well with their extensive experience in system design, scaling, and data management, particularly within the AWS ecosystem. The entrepreneurial background also indicates a self-starter mentality and comfort with ambiguity, which can be a strong cultural fit for innovative environments.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and CTO, along with leading multiple initiatives and mentoring engineers at AWS, suggests strong leadership, problem-solving, and team collaboration skills. Their involvement in product definition and sales indicates a business-oriented mindset and ability to translate technical solutions into business value. The consistent focus on operational excellence at AWS also points to a strong sense of responsibility and drive for continuous improvement.