resume/sections/experience.tex

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% EXPERIENCE A
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\subsection{{1st Engineer / Engineering Lead\hfill May 2022 - Present}}
\subtext{\href{https://www.grapevine.in}{Grapevine} \hfill Bengaluru}
\begin{zitemize}
\item Led the company from inception to \$3M seed funding, demonstrating strategic leadership in building and managing a high-performing team of 7 engineers, establishing engineering best practices, and accelerating product development from concept to launch
\item Architected and launched a scalable backend API infrastructure using Django, PostgreSQL, and Redis, deployed on Kubernetes, supporting over 600,000 users with 99.9\% uptime and robust performance under high concurrent load
\item Designed and deployed a real-time data pipeline with Kafka and ClickHouse, enabling analytics on 1M+ daily events empowering driving data driven product decisions that improved feature adoption by 25\%
\item Implemented advanced search capabilities with Qdrant (semantic search) and Meilisearch (keyword search), increasing content discovery engagement by 80\% and enhancing user retention
\item Engineered a real-time AI-powered interview platform using LiveKit and ElevenLabs, integrating custom voices and advanced prompt engineering to deliver a highly personalized candidate experience
\end{zitemize}

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% EXPERIENCE B
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\subsection{{Project Engineer\hfill Apr 2021 - Dec 2023}}
\subtext{\href{https://portal.e-yantra.org/}{e-Yantra, IIT Bombay} \hfill Mumbai}
\begin{zitemize}
\item Developed a modular drone platform integrating Raspberry Pi, NVIDIA Jetson AGX, ZED stereo camera, GoPro, GPS, and optical flow sensors using ROS, enabling real-time video streaming, flight data aggregation, cloud-based photogrammetry, and autonomous navigation capabilities
\item  Designed and implemented a containerized simulation platform, enabling secure, isolated, and reproducible evaluation of robotics and AI workloads
\item Engineered a GPU slicing and distribution framework for NVIDIA GPUs, optimizing resource utilization across multiple virtual machines for scalable machine learning training and browser-based remote Linux workstations
\end{zitemize}

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% EXPERIENCE C
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\subsection{{Cloud Infrastructure and Security Engineer\hfill May 2019 - Mar 2021}}
\subtext{\href{https://www.browserstack.com/}{BrowserStack} \hfill Mumbai}
\begin{zitemize}
\item Reduced AWS costs by 15\% on \$1M annual bill through reserved EC2 instances optimization, snapshot management, and S3 lifecycle policies while maintaining 99.9\% uptime SLA
\item Enhanced security posture by implementing CIS Controls, improving DMARC rating to 99.54\%, setting up VPN for data centers, and deploying Cloudflare to reduce page load times by 3x
\item Orchestrated critical infrastructure migrations with <0.1\% downtime, and executed disaster recovery planning for AWS
\end{zitemize}

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% % EXPERIENCE D
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\subsection{{Software Engineer (Research and Development)\hfill Jun 2017 - Nov 2018}}
\subtext{\href{https://frappe.io/erpnext}{Frappe Technologies Pvt. Ltd.} \hfill Mumbai}
\begin{zitemize}
\item Implemented email tracking pixels in outbound campaigns, enabling email engagement tracking and allowing targeted follow-ups that boosted response rates by 18\%
\item Developed Bench Manager GUI for real-time monitoring of Frappe-hosted sites, presented at ERPNext Conference, streamlining system administration tasks and live updates through Socket.IO
\end{zitemize}