44 lines
3.5 KiB
TeX
44 lines
3.5 KiB
TeX
% ====================
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% EXPERIENCE A
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% ====================
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\subsection{{1st Engineer / Engineering Lead\hfill May 2022 - Present}}
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\subtext{\href{https://www.grapevine.in}{Grapevine} \hfill Bengaluru}
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\begin{zitemize}
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\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
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\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
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\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\%
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\item Implemented advanced search capabilities with Qdrant (semantic search) and Meilisearch (keyword search), increasing content discovery engagement by 80\% and enhancing user retention
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\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
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\end{zitemize}
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% ====================
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% EXPERIENCE B
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% ====================
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\subsection{{Project Engineer\hfill Apr 2021 - Dec 2023}}
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\subtext{\href{https://portal.e-yantra.org/}{e-Yantra, IIT Bombay} \hfill Mumbai}
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\begin{zitemize}
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\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
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\item Designed and implemented a containerized simulation platform, enabling secure, isolated, and reproducible evaluation of robotics and AI workloads
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\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
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\end{zitemize}
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%====================
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% EXPERIENCE C
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%====================
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\subsection{{Cloud Infrastructure and Security Engineer\hfill May 2019 - Mar 2021}}
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\subtext{\href{https://www.browserstack.com/}{BrowserStack} \hfill Mumbai}
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\begin{zitemize}
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\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
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\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
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\item Orchestrated critical infrastructure migrations with <0.1\% downtime, and executed disaster recovery planning for AWS
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\end{zitemize}
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% %====================
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% % EXPERIENCE D
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% %====================
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\subsection{{Software Engineer (Research and Development)\hfill Jun 2017 - Nov 2018}}
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\subtext{\href{https://frappe.io/erpnext}{Frappe Technologies Pvt. Ltd.} \hfill Mumbai}
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\begin{zitemize}
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\item Implemented email tracking pixels in outbound campaigns, enabling email engagement tracking and allowing targeted follow-ups that boosted response rates by 18\%
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\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
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\end{zitemize}
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