M

Manu Hegde

Software Engineer

Palo Alto, California, United States6 yrs 2 mos experience

Key Highlights

  • Led development of a petabyte-scale data platform.
  • Achieved 91% reduction in deployment turnaround time.
  • Recognized for outstanding execution and team leadership.
Stackforce AI infers this person is a SaaS and E-commerce software engineer with expertise in data platforms and microservices.

Contact

Skills

Core Skills

Ci/cdKubernetesBackend DevelopmentApi DevelopmentData Platform DevelopmentMicroservicesFrontend Development

Other Skills

API CachingAWSApache KafkaApache SparkAzure EventhubBashC++CUDACascading Style Sheets (CSS)CatboostConvolutional Neural Networks (CNN)Data AnalysisDatabricks DeltaDatabricks deltaDeep Learning

About

I am a passionate and curious software engineer, currently pursing Masters in Computer Science from the University of Washington. Having worked for four years in fast paced startups building software products, I bring to the table a variety of skillsets. I have built software products from scratch and scaled them over time, learning many technical and non technical aspects of software development and better understood the scope of an engineer's responsibilities. Having worked as a software engineer doing full stack development and beyond, I have dealt with various layers of technology. From setting up software infrastructure (like Kubernetes, Virtual networks, Databases) to building and scaling microservices (in Java, Kotlin, Python), developing UI on Web and Mobile apps (ReactJS & React Native) as well as Linux server management (Ubuntu, RHEL). From being an individual contributor and a team player, to being the sole contributor and eventually leading the team, I have had the opportunity to wear different hats technically and otherwise. Key Highlights: Research Assistant at University of Washington: Set-up CI/CD using Kubernetes and a multi-environment setup for a robust SDLC and improved deployment turnaround time by upto 91% and increasing uptime to 99%. Refactored and re architected micro-services to improve runtime performance by 29% Senior Software Engineer at Tekion Corp: Co-led the development of an e-signing platform and was recognized for the outpaced execution of the project. Tekion corp is a US based company, providing software products to car dealerships across North America and Europe. Product Engineer at Udaan (Hiveloop Technology): Initiated as a sole contributor and then led the team to develop a petabyte scale, near real-time, self-serve Data Platform and co-architected MLOps platform. This enabled various stakeholders like Software Engineers, Product Managers, Business Leaders as well as Analysts within the company to enable and use data and machine learning workflows for their use cases. Was recognized with a '#crushing_it' award for leading and building a software product that received NPS/rating of 8.1 by 2400+ users Udaan is one of the Largest B2B e-commerce companies in India connecting wholesalers and brands with retailers. Terminology: UI - User Interface CI/CD - Continuos Integration / Continuos Deployment SDLC - Software Development Lifecycle MLOps - Machine Learning Ops NPS - Net promoter score (score on scale of 1 to 10) that describes how likely a user will promote the software with other potential users.

Experience

6 yrs 2 mos
Total Experience
1 yr 3 mos
Average Tenure
10 mos
Current Experience

Rivian

Software Engineer II

Aug 2025Present · 10 mos · Palo Alto, California, United States · On-site

  • Fullstack Software Engineer II in the Autonomous Driving (ADAS) team

University of washington

2 roles

Grader/Teaching Assistant - High Performance Computing

Jan 2025Mar 2025 · 2 mos · Bothell, Washington, United States · On-site

Graduate Research Assistant

Nov 2023Dec 2024 · 1 yr 1 mo · Bothell, Washington, United States · On-site

  • Set up CI/CD using Github Actions and lightweight kubernetes cluster(K3s), reducing deployment time upto 91.6%
  • Set up monitoring with Prometheus & Grafana to enable real-time monitoring and alerts
  • Optimized runtime performance of python backend (django) services by 29% (saving 600ms+ per request)
  • Effectively leveraged API caching (memcached) & UI datastore (Redux), improving end-to-end performance by 27%
  • Managed and maintained Linux server & AWS cloud infrastructure enabling zero-downtime & trouble free work for the research group
CI/CDKubernetesPrometheusGrafanaPythonDjango+4

Tekion corp

Senior Software Engineer

Jan 2023Jul 2023 · 6 mos · Bengaluru, Karnataka, India · Hybrid

  • Tekion is a California based automotive software company funded by former Tesla CIO
  • Developed backend services for Peer-to-Peer real-time collaboration feature for e-signing platform
  • Built features to enable a configurable & guided signing process for multidocument multiparticipant digital contracts
  • Refactored 2 existing services, yielding 18% improvement in API response time.
  • Improved team culture by cultivating document-driven discussions and test driven development practices
  • Recognized for swift execution, simplifying the processes, guiding the team and outpaced launching of features
  • Hiring: Conducted for technical rounds for entry level to senior roles
Backend DevelopmentAPI DevelopmentTest Driven DevelopmentTeam Leadership

Udaan.com

Product Engineer

Jul 2019Dec 2022 · 3 yrs 5 mos · Bengaluru Area, India · Hybrid

  • Udaan is one the of top B2B e-commerce platforms in India serving millions of retailers, funded by Lightspeed partners
  • Initiated & led data platform project to enable self-serve near real-time data workflows for all stakeholders (tech & business);
  • handles petabyte-scale data regularly
  • Worked fullstack, building & scaling micro-services and infrastructure for front-end, middle-ware & back-end modules
  • Managed and maintained catalog using hive metastore and worked on data lineage and governance
  • Integrated with tools like PowerBI, Google Data studio, Slack, Google docs to enable reports and dashboards
  • Improved scalability & fault-tolerance, reducing outages by 63% and total cost by 54%
  • Developed query execution & orchestration engine, reducing platform total cost by 19% and sub-proportional cost growth
  • Architected DAG (Directed Acyclic Graph) based execution to reliably enforce data dependency & integrity
  • Increased resource efficiency by 2.5x by re-architecting critical microservices & databases to efficiently leverage caching, pooling and event driven architecture
  • Co-architected MLOps Platform (Feature Store, ML Model CI/CD) to enable additional use cases
  • Machine Learning and Data Science:
  • Developed & launched a model for demand forecasting of items in one Tier-I warehouse,obtained inventory aggregation and substitution strategies saving upto 11% cost
  • Built & launched a model to target FMCG brands for buyers across multiple cities in India, yielding insights into ads-budgeting strategies
  • Overall Impact: improved execution efficiency for existing use cases by 2-22x and enabled hundreds of new use cases (compared to an existing, third-party solution that was in use)
  • Recognitions: Received a #crushing it award for leading and developing the data platform, which also received an NPS score of 8.1 from 2400+ users
Data Platform DevelopmentMicroservicesMLOpsData AnalysisMachine Learning

Tika data

Deep Learning Intern

Jan 2019May 2019 · 4 mos · Bengaluru Area, India

  • Built tool to extract video frames containing specific objects using image detection models (YOLO V2 & Detectron)
  • pre-trained on the MS-COCO dataset
  • Implemented a research paper to develop a face image generator based on a set of input faces using GAN (StyleGAN)

Shramajeevi

Software Engineer Intern - Frontend

Jun 2018Aug 2018 · 2 mos · Bengaluru Area, India

  • Built agdial.in​, a serverless, responsive web app in ReactJS with ​Firebase backend.
  • Redesigned ​shramajeevi.com​ into a react web app.
  • Platforms/Tools/Frameworks: ReactJS, Firebase firestore, Netlify

Radiant data systems

Software Engineer Intern

Jun 2017Aug 2017 · 2 mos · Bengaluru Area, India

  • Designed and implemented firmware (embedded C) and desktop application (C++.Net) for an
  • Information Display Board powered by ATmega1280 controller, used by 2000+ stores of BPCL across India
ReactJSFirebaseFrontend Development

Education

University of Washington

Master of Science - MS — Computer science and Software engineering

Sep 2023Jun 2025

Visvesvaraya Technological University

Bachelor of Engineering - BE — Computer Science & Engineering

Jan 2015Jan 2019

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