Aditya Vats

CEO

India10 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Software Engineering.
  • Led multiple high-impact projects at Amazon.
  • Strong background in real-time systems and data-driven applications.
Stackforce AI infers this person is a SaaS and Healthcare-focused Software Engineer with expertise in Machine Learning and real-time systems.

Contact

Skills

Core Skills

Machine LearningSoftware Engineering

Other Skills

ElasticSearchMySQLDeep LearningPythonSparkJAX-RSOpenCVDlibWebSocketsWebRTCApache StormKafkaMongoDBAerospikeJava

About

I use technology to engineer cool things that matter.

Experience

10 yrs 9 mos
Total Experience
3 yrs 7 mos
Average Tenure
6 yrs 9 mos
Current Experience

Amazon

3 roles

Software Development Manager III

Promoted

Jul 2025Present · 10 mos · On-site

Software Development Manager II

Nov 2023Jun 2025 · 1 yr 7 mos · On-site

Software Development Engineer II

Jul 2019Nov 2023 · 4 yrs 4 mos · On-site

Datamonk

Senior Software Engineer (Founding Employee)

Dec 2017Jul 2019 · 1 yr 7 mos · Gurugram, Haryana, India

  • Employee Engagement Platform for Grant Thronton: an ML-based platform that makes informed, data-backed decisions on hiring, promotion, and resource allocation; created a Chatbot using CoreNLP, and ElasticSearch which predicts a conversation's sentiment and maps the context to an organizational driver; classified chat questions for cold-start; created a feedback loop to enforce
  • learning. Used Spark, ElasticSearch, JAX-RS, RESTful, MySQL.
  • Exercise tracking system: a real time exercise repetitions counting and person recognition system that uses Deep Learning to count the number of repetitions of approximately the same exercise in an live input video stream and simultaneously recognise and track the person by face. Used CNN,Python, Dlib, OpenCV.
  • Personalization Platform for Voot Kids: created an ML-based recommendation engine to power cross-platform widgets on Voot Kids App; Used Spark, Redis, JAX-RS, MySQL, and ElasticSearch.[QPS<1000/s; P95<50ms].
  • Dispatcher System for Nagpur Metro: moved the traditional desktop application to a SOA; created a real-time peer-to-peer voice streaming application using WebSockets, EDA, WebRTC on Kurento.
  • Smart Health Coach for CureFit: created a food nutrition catalog from external sources by crawling, cleaning, and deduplication; developed a rule engine which created personalized health plans for users using ElasticSearch, MySQL, and JAX-RS. [QPS<500/s; P95<20ms].
Machine LearningElasticSearchMySQLDeep LearningPythonSpark+2

Snapdeal

Software Engineer 2

Jul 2015Dec 2017 · 2 yrs 5 mos · Gurugram, Haryana, India

  • UCMS (Unified Customer Messaging System): Built an event-based, highly scalable centralized communication pipeline on a distributed storm cluster for sending out all transactional communications to customers. The complete processing of an event is done in ~400ms by selecting templates, fetching data and sending communications.
  • Technologies used: Apache Storm, Kafka, MongoDB, MySQL, Aerospike, Java, Spring [QPS<800/s]
Apache StormKafkaMongoDBMySQLAerospikeJava+2

Ted consulting

Android Application Development Intern

Jun 2014Jul 2014 · 1 mo · Nodia,India

  • Released a new version for the company's flagship Android Application "Mark Attendance". Incorporated support for new APIs in attendance stats and redesign the user interface
  • using Material Design.

Education

National Institute of Technology Kurukshetra

Bachelor of Technology (B.Tech) — Computer Science

Jan 2011Jan 2015

MVN, Sec 17, Faridabad

Senior Secondary School

Jan 2009Jan 2011

St. Albans School, Faridabad

Matriculation

Jan 2009Present

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