P

Prateek Chandra J.

Lead ML Engineer

Bengaluru, Karnataka, India9 yrs 3 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Extensive experience in building production ML systems.
  • Contributed to AI R&D at Amazon.
  • Expertise in optimization strategies for large scale ML models.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI R&D in B2C applications.

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Skills

Core Skills

Machine LearningAi R&dApplied ScienceResponsible AiDeep Learning

Other Skills

Search & RecommendationsVoice AgentsDocument IntelligenceAI ModelsML FairnessNeural ArchitecturesLaTeXMatlabSimulationsMicrocontrollersPythonAlgorithmsC++ProgrammingR

About

Senior Software Engineer, Machine Learning at Roku, with extensive experience in building and scaling production ML systems while driving AI R&D. At Amazon, I contributed to Applied Science initiatives, developing the mathematical foundations and optimization strategies behind large scale ML models in production.

Experience

Roku

Sr. SW Engineer, Machine Learning

Oct 2025Present · 5 mos · Bengaluru, Karnataka, India · On-site

  • Roku Content Platform - Search & Recommendations
Machine LearningSearch & Recommendations

Stitchfin

AI R&D

Aug 2025Sep 2025 · 1 mo

  • AI Voice Agents
AI R&DVoice Agents

Ema unlimited

AI R&D

Apr 2025Jul 2025 · 3 mos · Bengaluru, Karnataka, India · On-site

  • Agentic AI for Document Intelligence
AI R&DDocument Intelligence

Amazon

Applied Scientist

Jul 2021Apr 2025 · 3 yrs 9 mos · Bangalore Urban, Karnataka, India

  • AI Models for Amazon Gift Cards
Applied ScienceAI Models

Cognitivescale

Applied Machine Learning Scientist

Jun 2021Jul 2021 · 1 mo · Hyderabad, Telangana, India

  • Responsible AI and ML Fairness
Responsible AIML Fairness

Hopstack

Deep Learning Engineering

May 2020Sep 2020 · 4 mos

  • Collaborated with the engineering team to implement state of the art neural architectures for inertial navigation inside supply chain warehouses involving estimation of positions and orientations of a moving subject from a sequence of IMU sensor measurements
  • Implemented key neural network models like ResNets (Residual Networks), Temporal Convolutional Networks (TCN) and Bilinear LSTMs (Long Short Term Memory) making continuous improvements for challenging motion edge cases
Deep LearningNeural Architectures

Recent trends in algebraic and geometric combinatorics conference

Conference Participant

Nov 2013Dec 2013 · 1 mo · UAM Madrid

  • Workshop aimed at leading researchers and students working in Algebraic and Geometric Combinatorics

Swiss re

Summer Intern

May 2013Jul 2013 · 2 mos · Bangalore Area, India

Stand with us, israel

Conference Participant

Aug 2012Aug 2012 · 0 mo · Israel

  • 40 Students from all over the world were given an opportunity to visit Israel to learn about the Start-Up Nation

Thinklabs technosolutions pvt. ltd.

Engineering Intern

May 2011Jul 2011 · 2 mos · New Delhi Area, India

  • Internship Project in the field of Autonomous Mobile Robotics

Indian institute of technology, bombay

Student

Jul 2010Aug 2015 · 5 yrs 1 mo · Mumbai Metropolitan Region

Education

Indian Institute of Technology, Bombay

B. Tech — Aerospace Engg.

Jan 2010Jan 2015

Chennai Mathematical Institute

Master's degree

Jan 2019Jan 2021

WorldQuant University

Master of Science - MS — Financial Engineering

Jan 2018Jan 2020

Delhi Public School, Ranchi

CBSE Senior Secondary Certificate Exam

Jan 2008Jan 2010

St. Thomas School, Ranchi

ICSE Certificate Exam - 10th Boards

Jan 2004Jan 2008

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