---
title: "Akshant Sharma - SDE 3 in Bengaluru | Tal"
description: "Meet Akshant Sharma, Engineer · Distributed Systems + AI Infra | Led PAS & Pricing teams @ Wayfair | Rider tracking @ Delivery Hero · 7M IoT sensors @ Walmart · 1.5T/day TSDB @ Agoda based in Bengaluru. AI stack includes claude code, cursor, and hermes agent. Explore public work links including git..."
image: "https://tal.club/meet/akshantvats/share-image"
---

# Akshant Sharma on Tal

## Headline

Engineer · Distributed Systems \+ AI Infra \| Led PAS & Pricing teams @ Wayfair \| Rider tracking @ Delivery Hero · 7M IoT sensors @ Walmart · 1\.5T/day TSDB @ Agoda

## About

I've spent 8 years building the infrastructure layer that most engineers never see — the ingestion engines, storage primitives, and real\-time pipelines that sit underneath product features and either hold or break under load\. My core is distributed systems and high\-concurrency Java, with Rust and Scala for the layers where raw throughput is non\-negotiable\. I care deeply about mechanical sympathy, cost efficiency, and systems that degrade gracefully rather than fail catastrophically\. What I've built: · Led two engineering teams @ Wayfair \(PAS \+ Pricing, Promotions & Discounts\) — Global Pricing Engine on GCP reducing price propagation from hours to sub\-seconds across 250k\+ SKU updates per supplier\. 99\.99% availability under burst traffic\. Distributed rate limiting and circuit breakers stabilizing the supplier platform at peak global load\. · End\-to\-end rider tracking @ Delivery Hero — Geospatial engine using OSRM, processing 5,000\+ map adjustments per second for real\-time route visualization across 1M\+ daily orders on AWS EKS\. Async SQS \+ Kinesis pipeline decoupling order processing from notifications — eliminated cascading failures at scale\. · IoT ingestion platform @ Walmart Labs \(3 years\) — Designed the WeIoT SmartBuildings backbone on Azure IoT Hub handling real\-time telemetry from 7M\+ sensors\. Real\-time HVAC control loops via Azure Stream Analytics\. Fault\-tolerant OTA firmware framework for millions of distributed edge devices\. · Contributed to a 1\.5T events/day TSDB @ Agoda — Custom Rust \+ Scala storage engine with direct\-to\-Ceph persistence\. Kafka \+ Redis tiering to keep query latency flat as data scaled linearly\. Currently building an open\-source AI inference observability platform — a high\-throughput Rust pipeline for LLM metrics \(latency, cost, anomaly detection\) designed for the cardinality that standard monitoring tools break under\. Open to Staff Engineer roles in Distributed Systems, AI Infrastructure, or Platform Engineering at scale\. 📧 Akshant3@gmail\.com 📞 \+91 9592948889

## Location

Bengaluru

## AI stack

claude code

cursor

hermes agent

hugging face

langchain

langgraph

## Work experience

SDE 3 at Wayfair, Oct 2024 \- Mar 2026 · 1 yr 6 mos, Bengaluru, Karnataka, India, Architected and led the development of a global price management system for 20k\+ suppliers, enabling near real\-time updates for discounts and promotions\.

Sr\. Software Engineer at Agoda, Apr 2024 \- Sep 2024 · 6 mos, Bengaluru, Karnataka, India, Worked on in\-house Time series database and logging mechanism\. Tech used \- Scala, Rust, Java, AWS, K8s, Kafka, Redis, Grafana, Ceph\.

Sr\. Software Engineer at Delivery Hero, Jun 2022 \- Jul 2023 · 1 yr 2 mos, Berlin, Germany, 🚀 With a profound impact on Delivery Hero, I played a pivotal role in transforming the order delivery process on their thriving platform\. ✨ Managing an impressive average of 1 million orders per day, my resilient service flawlessly handled a staggering number of requests to provide route information to riders\. We receive approximately 100 million calls every day to retrieve information and generate optimized map routes\. 🗺️ This extensive volume of calls enables us to facilitate efficient and accurate deliveries\. It results in an average of around 50,000 route adjustments per second, ensuring swift and precise delivery, even in dynamic and ever\-changing scenarios\. ⚡ By leveraging my expertise and innovative solutions, I played a key role in optimizing the order delivery process and enhancing the overall customer experience at Delivery Hero\.

Systems Engineer at WalmartLabs India, Aug 2018 \- May 2021 · 2 yrs 10 mos, Bengaluru, Karnataka, India, ✨ As part of our team at Walmart Labs, we played a pivotal role in the WeIoT SmartBuildings project, revolutionizing data tracking and HVAC sensor monitoring for Walmart\. Our goal was to design and implement intelligent systems that improve food quality, reduce energy consumption, and optimize costs for our customers\. 💻 Using a diverse tech stack including C\#, Java, Python, Power BI, Azure IoT Hub, Azure IoT Edge, Event Hub, Azure Stream Analytics, and No\-SQL and SQL databases, we successfully delivered the Walmart\-IoT \(EMS\) project\. 📊 To put things into perspective, imagine Walmart managing over 7 million unique IoT data points across their U\.S\. stores, resulting in a staggering amount of valuable data processed at an impressive rate, handling tens of millions of data points per minute\. 🔧 By architecting a robust and scalable solution, we empowered Walmart to leverage this vast amount of data, driving insightful analytics, optimizing operations, and delivering an unparalleled customer experience\. Throughout our tenure at Walmart Labs, we worked collaboratively as a cohesive team, leveraging our expertise in IoT technologies, software development, and data processing\. Our collective efforts made a significant impact on the WeIoT SmartBuildings project, aligning with Walmart's commitment to excellence in service delivery\. 🔗 Blog\[https://corporate\.walmart\.com/newsroom/2021/01/14/how\-walmart\-leverages\-iot\-to\-keep\-your\-ice\-cream\-frozen\] 🔗 Linkedin Post\[https://www\.linkedin\.com/posts/walmartglobaltechindia\_thisisthatplace\-futureofretail\-iot\-activity\-6589896026155520000\-lwOh/\]

IOT Lead at Integration Wizards Solutions, Aug 2017 \- Aug 2018 · 1 yr 1 mo, On\-site, 🔧 At Integration Wizards, Bangalore, I had the opportunity to work on Dover's IIOT Platform, a cutting\-edge Industrial Internet of Things platform\. 🏭 Our platform enabled seamless operations and predictive learning for oil wells and compressors, processing telemetry data from across the USA\. 📊 I played a key role in building a robust device management system from scratch, ensuring efficient monitoring and control of the devices\. 🚀 Additionally, I implemented microservices to develop predictive insights and interactive dashboards, leveraging the power of Power BI for data visualization\. By contributing to the development of Dover's IIOT Platform, I helped optimize operations, enable predictive maintenance, and empower data\-driven decision\-making in the oil and compressor industry\.

Mobility Consultant at Integration Wizards Solutions, Mar 2017 \- Aug 2017 · 6 mos, Bengaluru, Karnataka, India

## Education

Engineer’s Degree, Computer Science Engineering, CHANDIGARH UNIVERSITY

Diploma, Electrical Engineering, Chandigarh College of Engineering & Technology, Sector\-26

## Public links

- github: https://github\.com/AkshantVats
- inferix\.vats\.cc: https://inferix\.vats\.cc/

[View the original profile](https://tal.club/meet/akshantvats)

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