Jul 2024 – Aug 2025 · 1 yr 1 mo · Gurugram, Haryana, India · Hybrid

• >> HybridAI: AI Infrastructure Orchestration (On-Prem & Cloud)
• https://hybridai.ai/
• Directed a cross-functional team of 19 developers spanning backend, frontend, and DevOps to tdeliver an MVP for HybridAI, an AI infrastructure recommendation, optimization, and orchestration tool. Managed diverse technical domains to meet client objectives effectively.
• Engineered AI-Optimized Infrastructure with Fractional GPU and High-Performance Networking: Designed and deployed an OpenShift (Kubernetes-based) AI infrastructure leveraging VF/PF SR-IOV, RDMA over Infiniband, and Nvidia Network Operator via Helm, enabling fractional GPU allocation, workload isolation, and zero-copy memory transfers for low-latency, high-throughput AI model training. Integrated Kubeflow for scalable AI orchestration, ensuring automated model onboarding, policy-driven GPU scheduling, and workload balancing across hybrid cloud environments.
• Architected Enterprise-Grade AI Networking with Advanced Performance Optimization: Configured Multus CNI for multi-NIC workload isolation, DPDK for accelerated packet processing, and Kubernetes network policies for AI traffic prioritization, optimizing data pipelines across vCenter, OpenShift, and AWS hybrid cloud. Enhanced AI inference and training efficiency through direct I/O access, congestion control mechanisms, and real-time AI workload monitoring, ensuring seamless scalability and infrastructure-wide network acceleration.
• >> NextTechAR: AI-powered 3D modeling and AR solutions
• https://www.nextechar.com/
• Led the DevOps team, successfully migrating the database from LiquidWeb to AWS RDS and restructuring the entire deployment process, restructured code.
• Achieved a 23% reduction in infrastructure costs, saving approximately $60,000 annually by optimizing the architecture across three products: Aritize, Toggle3D, and MapD.

Dec 2023 – Jun 2024 · 6 mos · Gurugram, Haryana, India · On-site

• Juleo is a Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy. Our illustrious backers include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers. Our team members are alumni of Google, Amazon, P&G, McKinsey, BCG, Uber, Zomato, Sprinklr, Wharton, IIT, multiple start-ups and ex-founders. We are hard at work and will share more soon.

Oct 2022 – Nov 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India

Aug 2022 – Oct 2022 · 2 mos · Bengaluru, Karnataka, India

• Backend, GoLang, Blockchain, Crypto Exchnage

Jun 2022 – Sep 2022 · 3 mos · India · Remote

• https://summerofcode.withgoogle.com/archive/2022/projects/fjUDLOrk

May 2022 – Jun 2022 · 1 mo · Gurugram, Haryana, India

Dec 2021 – Aug 2024 · 2 yrs 8 mos · Delhi, India

Aug 2021 – Jun 2022 · 10 mos · Bengaluru, Karnataka, India

May 2021 – Aug 2021 · 3 mos

• Student Developer @NRNB
• https://summerofcode.withgoogle.com/projects/#4645790724653056
• Worked on the graphical visualization having custom layouts, color, animation of complex protein-protein interaction using the CytoScape.JS library.
• Recreated data upload section, server-side creation, deletion and modification of files using Rest APIs. Better UI/UX, timer, and validation on buttons.
• Packaged and deployed production ready app on Apache based server and MySQL database, running under the same network of docker-compose.
• Hands-on experience working on industry-level project and deployment, complete grasp of request and response, Symfony framework, JavaScript,
• Ajax, JSON, Twig, CytoscapeJS, Controller, Forms, Entities, Doctrine ORM, database, API, and experience writing the manuscript for the publication.

Mar 2021 – Jul 2021 · 4 mos

• Streamlined CI/CD pipeline for single push deployment from ACR to Kubernetes on Azure (AKS) creating build, test andintegration using gitlab runner.
• Created numerous cronjobscripts in python and scheduled it in Celery (onDjango app) as well as system-level crons-jobs natively on Kubernetes.
• Distributed various types of microservices loads on suitable VM's using various node pools in Azure Kubernetes using taint, tolerance andnode selector.
• Worked on containerizing microservices, deploying redis, postgres and persistent volumes, handling interconnections, load balancing, autoscaling,
• VPA,HPA, resource allocation, and deployment of config-maps, secrets, helm charts, custom application images, version management and tag handling.
• Optimized Postgres database using pgbench, pg_stat statements for pin-pointing badly formed SQL queries and fine-tuned it for optimal performance.
• Deployed performance monitoring stack Prometheus, Grafana, and configured alert-manager for sending alerts before any significant system failure.
• Enabled, configured logging architecture for multiple services using FluentD aggregating logs from file tails, container logs, Prometheus metric scraper
• endpoints and dumping critical logs to Elastic-Search for visualization in Kibana and a copy to Slack for further analysis and rectification.

May 2020 – Jul 2020 · 2 mos

• Configured, deployed highly available and scalable applications on AWS using EC2, RDS, S3, Elastic load balancer, Auto-scaling, and monitored these applications with cloud watch and SNS services.
• Managed system administration tasks of maintaining users, filesystems, networking, package management on local machines and AWS.
• Implemented and debugged open stack environment as an alternative to AWS on the local server.
• Provisioned and configured virtual machines using Vagrant and VirtualBox.
• Reduced time to deploy applications using DevOps concepts like configuration management and continuous deployment using Ansible from half a month to a day.
• Streamlined deployment process by developing continuous integration tools like Jenkins.
• Maintained Git repositories for DevOps environment: Version control and build automation integrating git into Jenkins.
• Worked closely with clients to establish problem specifications and system designs.

May 2019 – Jun 2019 · 1 mo · Delhi, India

• Scrapped data linked with the property attributes which are location, property area, contact of the manager and tags of themajor
• metropolitan cities namelyDelhi, Gurgaon, Bangalore East and Southusing SCRAPYan open sourcepython framework.
• Generated a profit of 5.47 lakh to the firm within a span of two months by cost-effective scrapping of dataform99acres.com.
• Restructured and enhanced theUI/UX and alongside constructed a Dashboard using Metabase for the ground team indicating next
• location to visit and a unified portal where they can upload the leads they generated.

Jan 2019 – Jan 2019 · 0 mo

• Built a contextual chatbot using RASA conversational AI (machine learning based) framework which can handle seat booking and FAQs for the restaurant.
• Relative texts were parsed through Duckling into structured data to convert relative time input by user into date-time object for making reservation.
• Intent classification of raw data using NLP, structured Dialog Management via slots, stories and actions, and API integrations for whatsapp and slack.

Dec 2018 – Jan 2019 · 1 mo · India

• Mentored several projects at Kharagpur Winter of Code’18. Kharagpur Winter of Code is an open-source event organized at IIT Kharagpur where over 2700 college students from all over India participated to contribute to several open-source projects
• Plagiarism Checker | Kharagpur Winter of Code | Mentor Dec 2019 - Jan 2020
• Made several beginner levels issues in the GitHub repo and guided 8 mentees who worked on my project, getting selected in KWoC.
• Used the python Flask Framework and some simple HTML, CSS and Bootstrap to make a good user interface.
• We used cosine similarity to find the percentage of similarity between paragraphs, and used Google search API to compare the text.

Sep 2018 – Apr 2019 · 7 mos · Kharagpur, India

May 2018 – Jun 2018 · 1 mo · Dhanbad-Ranchi Area

• Learned the financial management in CCL, including Cash Flow Analysis, Inventory Management, Debt Management, Indian Accounting
• Standards (IND AS), Taxation and Goods and Service Tax (GST), and gained a hands-on experience working along sidewith the managers.

Sep 2017 – Dec 2018 · 1 yr 3 mos · India

Sep 2017 – Jun 2018 · 9 mos · India

Aug 2017 – Jan 2018 · 5 mos · India

• Working in this society which deals with adventurous activities and thrilling games. I have developed team understanding and have learnt the art of cherishing this beautiful life.