---
title: "Aman Sharma - Staff Software Engineer (Head - Platform Engineering) in Delhi | Tal"
description: "Meet Aman Sharma, Staff Software Engineer | 0→1 event-driven data platform for India’s first commercial green hydrogen plants | Distributed Systems · Apache Pulsar · Multi-Tenant Real-Time Pipelines based in Delhi. AI stack includes claude code, codex, and cursor."
image: "https://tal.club/meet/aman-sharma-1/share-image"
---

# Aman Sharma on Tal

## Headline

Staff Software Engineer \| 0→1 event\-driven data platform for India’s first commercial green hydrogen plants \| Distributed Systems · Apache Pulsar · Multi\-Tenant Real\-Time Pipelines

## About

I was Hygenco's first engineering hire\. Three years later, I lead the platform behind India's first commercial green hydrogen plants\. When I joined, there was no software team and no platform — just a pilot plant that needed digitizing\. Building it meant going 0→1 on everything: edge software in Python talking to PLCs, battery systems, and rectifiers over Modbus, S7, and CAN; event\-driven pipelines through Apache Pulsar and Flink; a multi\-tenant time\-series platform on Django and CrateDB; all running on self\-managed Kubernetes across multiple plant sites\. Real\-time telemetry, plant automation and safety logic, renewable forecasting, operational dashboards — the systems that keep hydrogen production running\. Along the way I was promoted from Technical Lead to Staff Software Engineer \(Head of Platform Engineering\), scaling and mentoring a team of 6\+ engineers while staying hands\-on with architecture and code\. Hygenco is chapter four of an 8\.5\-year run building real\-time systems under hard constraints: aviation IoT at ZestIOT, where I re\-architected a polling platform into an event\-driven one on RabbitMQ and Redis and led 7\-8 engineers across firmware and backend; telecom\-grade device integrations for Ooredoo, Qatar's largest telecom operator; smart\-city IoT platforms at EnrichAI\. What pulls me in: distributed systems that must survive partial failures, unreliable networks, and years of evolution — designed at Staff scope, built with production pragmatism\. Always open to conversations about event\-driven architecture, industrial data platforms, and hard reliability problems\. DM me here, or reach me at 7amansharma@gmail\.com\.

## Location

Delhi

## AI stack

claude code

codex

cursor

hugging face

ollama

openai

## Work experience

Staff Software Engineer \(Head \- Platform Engineering\) at HYGENCO \- The Hydrogen Company, Mar 2023 \- Present · 3 y 6 mo, Gurugram, Promoted from Technical Lead \(Mar 2023 – Mar 2025\) to Staff Software Engineer \(Head \- Platform Engineering\) \(Apr 2025 – Present\)\. Joined as the company's first engineering hire\. \- Architected a distributed data platform from zero — event\-driven ingestion, stream processing, and multi\-tenant APIs abstracting 15\+ heterogeneous data sources, including safety\-critical control loops where correctness under failure is a hard requirement\. Now powering India's first commercial green hydrogen plants across multiple production sites\. \- Designed event\-driven pipelines on Apache Pulsar and Apache Flink with rolling\-window aggregations \(1 min / 1 hr / 1 day\), built for hostile infrastructure realities: unreliable networks, partial failures, retries, buffering, and duplicate detection\. \- Built the multi\-tenant backend on Django/DRF and CrateDB — tenant isolation, role\- and object\-level permissions, rate limiting, and time\-series query APIs — including a custom Django–CrateDB storage backend written from scratch because no public integration existed\. \- Operated a self\-managed Kubernetes cluster running 10\+ production workloads \(core APIs, Pulsar, Flink, CrateDB, MQTT, forecasting, energy\-market automation\) with Helm, RBAC, TLS, gateway routing, and Grafana/Alertmanager/OpenTelemetry observability\. \- Grew the engineering team from 1 to 6\+ engineers; defined org\-wide CI/CD, observability, and coding standards; promoted to Head of Platform Engineering within 2 years\.

Senior Software Engineer at EnrichAI, May 2022 \- Mar 2023 · 11 mos, Gurugram, Hybrid delivery\-lead and senior\-engineer role serving Ooredoo — Qatar's largest telecom operator — delivering from India after 2\+ years embedded on\-site with the client\. \- Directed end\-to\-end engineering delivery of 3 enterprise IoT product lines — smart waste, fleet management, and asset management — each shipped as its own frontend and backend on Cumulocity IoT, owning the path from requirements to production\. \- Built and optimized Node\.js microservices for real\-time device data streams — ingestion, processing, and APIs — improving scalability and reliability across all product lines\. \- Led and mentored the junior backend team on microservice design and third\-party device integrations, raising delivery quality while remaining the primary hands\-on senior engineer on the account\. \- Drove requirements gathering and technical scoping directly with client stakeholders as the client\-facing technical lead, translating business needs into backend architecture and delivery plans\.

IoT Backend Developer \( Consultant \) at Ooredoo Qatar, Jan 2020 \- Apr 2022 · 2 yrs 4 mos, Qatar, On\-site consultant in Qatar for Ooredoo, the country's largest telecom operator, building its enterprise IoT product portfolio on an on\-premise Cumulocity IoT deployment\. \- Built Node\.js middleware and microservices integrating heterogeneous third\-party devices into the platform, powering 5 production use\-case domains — asset tracking with geo\-fence alerts, smart waste monitoring, real\-time energy monitoring for buildings and warehouses, remote power\-generator monitoring and control, and attendance management with mobile geofencing and face detection\. \- Engineered telecom\-grade real\-time data ingestion pipelines — device protocol handling, stream processing, and platform APIs — built for reliability on infrastructure serving a national operator's enterprise customers\. \- Delivered control\-plane functionality beyond read\-only telemetry: remote monitoring AND control of revenue\-generating field equipment \(rented power generators\), where correct command execution was a hard requirement\. \- Partnered directly with device vendors and client engineering teams to take each integration from spec to production\-ready — protocol edge cases, failure handling, and acceptance across product verticals\. \- Earned a 2\+ year on\-site engagement extension and promotion to the account's client\-facing technical lead role \(continued under EnrichAI from May 2022\)\.

Embedded Developer → Software Developer → Senior Software Developer → Lead Developer at ZestIOT \- IOT/AI powered aviation platform, Oct 2017 \- Dec 2019 · 2 yrs 3 mos, Hyderabad, Telangana, India, Grew from intern to Lead Developer — 3 promotions in \~2 years — building real\-time aviation ground\-operations tracking for airlines and Hyderabad airport, spanning firmware to distributed backend\. \- Re\-architected the entire platform from polling to event\-driven — RabbitMQ pub/sub \(AMQP exchanges and queues\) with Redis and MySQL — unlocking real\-time turnaround analytics: live aircraft and equipment status, delay estimation, and operational bottleneck detection\. \- Built the ingestion backbone: a multithreaded TCP server with a custom resilience protocol receiving parallel streams from field devices, feeding layered processors that demultiplexed multi\-sensor packets and derived ground\-operations events — equipment arrival and departure at bays, ladder and catering attachment, baggage loading and unloading, pushback operations\. \- Fused airside and groundside data by integrating ADS\-B aircraft tracking \(Raspberry Pi, rtl\-sdr, dump1090\-fa\) — decoding flight number, altitude, position, and speed — to generate the full aircraft lifecycle from approach and wheels\-down to off\-block and wheels\-up in real time\. \- Matured the company's core tracking device from prototype to main product: ESP32/FreeRTOS firmware reading 6\+ sensor types in parallel \(GPS, BLE beacons, ultrasonic/ToF distance, proximity, custom in\-house sensors\) with SD\-card persistence, configurable LTE/Wi\-Fi transport, OTA updates, and remote configuration\. \- Led a 4–5 member platform team and coordinated 7–8 engineers across hardware, firmware, and backend as the go\-to engineer for core production issues; built a field\-device simulator with live map visualization and Python debugging tools that accelerated development for the whole team\.

Machine Learning & Recommender System Developer at Asaan, Jun 2017 \- Aug 2017 · 3 mos, Gurgaon, India, \- Built ML\-based recommender systems for product categorization and personalized shopping experiences\. \- Developed algorithms for text processing, image recognition, and recommendation pipelines\.

## Education

Bachelor of Technology \(B\.Tech\.\), Electrical, Electronics and Communications Engineering, Bhagwan Parshuram Institute of Technology

Bachelor of Technology \(B\.Tech\.\), Electrical, Electronics and Communications Engineering, Guru Gobind Singh Indraprastha University

[View the original profile](https://tal.club/meet/aman-sharma-1)

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