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Founding Full Stack Engineer @Jarvislabs.ai - GPU Cloud & ML Infrastructure · React / FastAPI / Python / LLM serving
I'm a Senior Full Stack Engineer with 10+ years of experience building scalable web platforms and cloud infrastructure. I thrive at the intersection of technical execution, product strategy, and user impact. Currently, I lead engineering at Jarvislabs.ai, where I built a GPU cloud SaaS platform from the ground up—architecting the React/Next.js frontend, FastAPI backend, Stripe billing system, and Docker-based infrastructure. The platform now serves 1,000+ ML engineers globally, processes $2M+ annually, and maintains 99.9% uptime. My approach: own problems end-to-end, ship fast without cutting corners, and build systems that scale. I've optimized performance (40% faster page loads), driven growth (25% increase in organic signups through SEO), and reduced operational costs (20% savings through infrastructure optimization). Before my startup journey, I was a Kaggle Notebooks Master (Top 0.1% globally, Rank 18) and worked as a Data Engineer at Serendio and Wipro, building Spark/Hadoop pipelines for enterprise analytics. My tech stack: React, Next.js, Python, FastAPI, Docker, MySQL, Tailwind CSS, Stripe, Vercel, Git, Linux.
Vishwakarma Institute Of Technology
Master of Computer Applications - MCA
June 1, 2009 – May 1, 2012
Jarvislabs.AI
Senior Full Stack Lead (Founding Team)
September 1, 2019 – Present
Bengaluru Area, India · On-site
Towards Data Science
Data Science Communicator
April 1, 2019 – September 1, 2019
Self Employed
ML/Deep Learning Engineer
August 1, 2016 – September 1, 2019
Bengaluru Area, India
Serendio
Spark/Scala Senior Data Engineer
July 1, 2014 – August 1, 2016
Bengaluru Area, India
Wipro Technologies
Big data/Hadoop Developer/Admin
January 1, 2012 – June 1, 2014
Pune Area, India
BookShelf Using React
July 1, 2017 – Present
Created User Interface using ReactJS to maintain books on different shelves like currently reading , want to read and finished reading. User can move book across shelves. She can also search different books and add them to the shelves.
Big data Hadoop Development/Administration and support
November 1, 2012 – November 1, 2013
Developing and maintaining Hadoop projects and supporting the clusters of various sizes. The project involves analysis of the transaction data and providing value add points to the customers based on the transactions. Analyzing logs and various data from the info security team to avoid any fraudulent activities. Key Features: • High Availability • Fair Scheduler • Load balancing of data across the cluster and performance tuning of various jobs running on the cluster. • Implementation of Kerberos authentication. (Cross-realm authentication) • Integration/Configuration with various databases like Postgres (default), Oracle. • Backup and Disaster Recovery(BDR) • Cloudera Management Services - Health Checks/Alerts. • Navigator Integration (Data Audit and Access Control) • Performance Testing between Hive and Impala • Importing Data from Oracle to HDFS using Sqoop
Next Gen BI tools
December 1, 2011 – June 1, 2012
Analytic using Hadoop and related technologies
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning in Python: Intermediate Course
Dataquest.io
June 24, 2026 – Present
Machine Learning in Python: Beginner Course
Dataquest.io
June 24, 2026 – Present
IBM Netezza Technical Mastery Professional v1
IBM
June 24, 2026 – Present
IBM BigData Fundamentals Technical Professional v1
IBM
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to R
edX
June 24, 2026 – Present
edX Honor Code Certificate for Scalable Machine Learning
edX
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from Big Data administration to full-stack development and deep learning, indicates a broad interest and adaptability. The experience with open-source contributions (Kaggle, GitHub) and a founding team role suggests an entrepreneurial spirit and willingness to take initiative. While the target role is 'Data Analyst', the candidate's background leans heavily towards Data Engineering and Machine Learning. This might indicate a potential mismatch in day-to-day responsibilities if the Data Analyst role is purely focused on reporting and dashboarding, rather than advanced analytics or data pipeline work. However, the foundational data skills are highly relevant.
Soft Skills & Operational Fit
The candidate's resume highlights 'Excellent communication skills, self-motivated, team player, quick learner and hard-working.' The diverse project experience and roles suggest adaptability and a proactive approach to learning new technologies. The experience as a 'Data Science Communicator' also points to strong communication abilities.