P

Pratyush Ranjan

Software Engineer

Washington, District of Columbia, United States12 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Over 13 years of experience in technical systems development.
  • Led high-impact projects generating significant revenue.
  • Expertise in machine learning and distributed systems.
Stackforce AI infers this person is a seasoned engineer specializing in SaaS and media technologies with a strong focus on machine learning.

Contact

Skills

Core Skills

Machine LearningAmazon Ai/ml ServicesSoftware DevelopmentDistributed SystemsVideo Processing

Other Skills

AWS CloudFormationAWS LambdaAWS Step FunctionsAlgorithm ImplementationAlgorithmsAmazon Web Services (AWS)Applied Machine LearningArtificial Intelligence (AI)C (Programming Language)C++CephComputer VisionData StructuresDigital Signal ProcessingDistributed Storage

About

A seasoned generalist Engineer with 13+ years of experience developing highly technical systems and products ‑ video codecs, flash firmware, distributed storage, and now Machine learning training and inference platforms and services. Experienced in leading projects, resolving ambiguities, and co‑ordinating cross‑functional projects across organizations, with a proven track record delivering and maintaining high growth rate services generating $XXX million in revenue.

Experience

Capital one

Senior Lead Software Engineer

Mar 2025Present · 1 yr · Washington DC-Baltimore Area · Hybrid

  • Feature Engineering and Machine Learning Platform.

Amazon web services (aws)

2 roles

Software Development Engineer

Promoted

Nov 2021Mar 2025 · 3 yrs 4 mos · Arlington, Virginia, United States

  • Amazon AI/ML Services, SageMaker ML Inference, SageMaker ML Training
  • I was a tech lead on various projects involving health check features, model monitor features, data capture, multi model endpoints, new region build-up for services etc. And In process, Improving the availability and fault tolerance of the machine learning system, observability of the ML models hosting, supporting and releasing features and services impacting several $xxxM in revenue.
  • Checkout
  • Inference, https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-deployment.html
  • Training, https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-training.html
Machine LearningAmazon AI/ML ServicesSageMaker ML InferenceSageMaker ML TrainingFault ToleranceObservability

Software Development Engineer

Jun 2021Oct 2021 · 4 mos · Arlington, Virginia, United States

  • I was the single thread owner of the Prime Video title deduplication project. Duplicate titles negatively affected customer UX and purchase. I handled design, dev and QA, delivering in 3 months (before planned ETA). Impact - 1xx,xxx duplicate titles merged.
Project ManagementSoftware DevelopmentQuality Assurance

Flipkart

Software Development Engineer

Oct 2017Aug 2019 · 1 yr 10 mos

  • I worked on scaling an object storage system quadrupling it to XX PetaBytes in 18 months . Learnt a great deal about scaling, reliability, and maintain‑ability of distributed systems.
  • Responsibility and Projects –Lead engineer on projects involving Object storage life cycle management, SLA dependent cluster federation,traffic routing, performance analysis, integration of PAAS services, customer data migration ,and KTLO duties.
Object StoragePerformance AnalysisTraffic RoutingDistributed Systems

Sandisk®

Staff Software Engineer

Dec 2015Oct 2017 · 1 yr 10 mos

  • Technical Leadfor features such garbage collection and physical erase in the Multimedia Management Layer (MML) for the Next Gen SanDiskAutomotive/Industrial NAND flash products (MLC and TLC). These are highly reliable products for industrial/automative usage.
  • Project ownership, Planning and Mentorship: Coordinated with multiple stakeholders to deliver product on time, mentored new engineers,ramp up and knowledge transfer.
Technical LeadershipProduct DevelopmentMentorshipSoftware Development

Samsung india

Lead Software Engineer

Jul 2011Dec 2015 · 4 yrs 5 mos

  • Video Codec Development: I coded video codec sub‑modules‑ motion estimation, transformation and quantization block of H.265, H.264 and VP8; ported to GPU. Performance improvement of 2%‑5%for encoder profiles.
  • HW Algorithms for Image Compressor: I researched and implemented fixed point FFT techniques in JPEG. This saved 3% – 5%in gate count, translating to $xxx,xxx saved over multiple product launches.
  • Leading a team of two engineers on projects involving video compression modeling and improvement.
Video Codec DevelopmentImage CompressionAlgorithm ImplementationVideo Processing

Education

Stony Brook University

Master of Science - MS — Computer Science

Aug 2019May 2021

Indian Institute of Technology (Indian School of Mines), Dhanbad

Bachelor of Technology - BTech — Electronics and Communication Engineering

Stackforce found 100+ more professionals with Machine Learning & Amazon Ai/ml Services

Explore similar profiles based on matching skills and experience