Cloud reliability and developer velocity
Owning service reliability, release safety, and observability for customer-facing cloud workloads.
Software Development Engineer @ Amazon Web Services
Building resilient systems at AWS scale with measurable production impact.
I engineer real-time distributed systems at Amazon Web Services, own on-call operations for a platform serving Fortune 500 companies, and have mentored 90+ engineers in distributed systems and cloud computing. I care about reliability, operability, and measurable customer impact.
- 2M+users on platforms I own at AWS
- 35%latency reduction shipped in production
- 99.999%uptime maintained on critical systems
Available for engineering conversations
Prabhat Suman
Software Development Engineer · AWS
50%
throughput improvement shipped through autoscaling and load-balancing redesign
2M+
requests per day handled on a production platform I help run and support on-call
21.43M
subscriber-scale systems supported through API design and zero-downtime delivery
Engineering Blueprint
How I approach production software
Observe First
Instrumentation, logs, and traces before optimization decisions.
Design for Failure
Graceful degradation, retries, and clear operational playbooks.
Ship Iteratively
Small safe rollouts, objective metrics, and fast rollback paths.
Career Timeline
Experience shipping software from ideation to production
Jan 2025 - Present
Software Development Engineer
Amazon Web Services (AWS)
Engineered the Amazon Connect Flows execution engine — the real-time orchestration layer powering contact journeys for Fortune 500 enterprise customers. Re-engineered auto-scaling and load-balancing delivering 35% latency reduction and 50% throughput improvement. Hardened security for 2M+ users via IAM policy overhaul and encryption enforcement, maintaining 99.999% uptime on a 2M+ req/day platform. Owned on-call operations and systematically eliminated recurring incident classes through root-cause analysis.
Oct 2024 - Jan 2025
Software Developer
OuterBox
Part of the team that built LOOP Analytics — an internal lead-tracking platform in Java/TypeScript. Team delivered 30% improvement in lead identification accuracy and 20% faster deploys through CI/CD automation.
Aug 2022 - Jun 2024
Research & Teaching Assistant
Indiana University Bloomington
Mentored 90+ graduate students in distributed systems (MapReduce, Kafka, TCP/UDP) and cloud platforms (AWS, GCP). Raised course satisfaction scores by 15%.
Jul 2021 - Aug 2022
Software Developer (Innovator)
TCS Research
Built customer-facing React/TypeScript components for a platform serving 21.43M subscribers. Designed REST APIs and configured Jenkins CI/CD pipelines for zero-downtime backend deployments.
Apr 2020 - Jun 2021
Software Developer
Truminds
Part of the team that built an ML-powered exam proctoring system using TensorFlow and OpenCV, achieving 80% reduction in cheating incidents. Also contributed to an internal HR management platform improving operational efficiency by 30%.
Selected Work
Technical projects across cloud, distributed systems, and machine learning
Chandra Library
Production website delivery with emphasis on responsive UX and maintainable frontend architecture.
Web EngineeringArchitecture: Modular frontend components with clean content hierarchy.
Tradeoff: Optimized UX and maintainability over visual complexity.
Impact: Improved responsive behavior and production readiness.
Failure Learned: Constrained scope early to keep releases predictable.
Predicting Loan Defaults
Machine learning pipeline for risk prediction using HCDR dataset and feature-driven model design.
Machine LearningArchitecture: End-to-end feature engineering and model training workflow.
Tradeoff: Balanced interpretability and predictive performance.
Impact: Delivered practical risk scoring for loan-default prediction.
Failure Learned: Data leakage checks are non-negotiable in tabular ML.
Primary Speaker Separation
Audio ML project to isolate speaker signals and improve source intelligibility in mixed recordings.
Audio AIArchitecture: Signal preprocessing + model-driven speaker isolation pipeline.
Tradeoff: Prioritized robustness on noisy audio over perfect separation.
Impact: Improved clarity of dominant speaker in mixed recordings.
Failure Learned: Feature normalization strongly affects convergence stability.
MapReduce
Distributed processing implementation demonstrating scalable computation design patterns.
Distributed SystemsArchitecture: Mapper/reducer workflow with partitioning and aggregation stages.
Tradeoff: Simplicity in orchestration over advanced scheduling complexity.
Impact: Demonstrated scalable compute patterns for large data batches.
Failure Learned: Straggler handling and retries dominate end-to-end latency.
Beyond Engineering
Creative work and storytelling
Education
Academic foundation
- MS in Computer Science - Indiana University Bloomington
- B.Tech in Electronics & Communication - IIIT Ranchi
- High School - Delhi Public School, Bokaro Steel City
Credentials
Certifications and recognition
Leadership
Community and mentorship
Community
Learning in public
Recommendations
What peers and mentors say
I worked closely with Prabhat as his onboarding buddy when he joined Amazon as an SDE 1. His strong foundation in software engineering concepts immediately stood out. He is meticulous in design, covers edge cases, and consistently delivers with integrity.
Tanaji Gokuldasrao Jadhav
Software Development Engineer II @ AmazonPrabhat is a quick learner, technically strong, and always eager to grow. I have seen him contribute effectively in machine learning work and leadership settings.
Kumar Ritu Raj Singh
Senior Software Engineer @ Optum (UHG)Recognition
Achievements
- ACM-ICPC Asia Amritapuri Regional Qualifier (2019)
- Flipkart Hackathon Semi-Finalist (2020)
- Best Student Shield (2022)
- Learning Achievement Award (2022)
Speaking & Community
Engagements
- Guest Speaker, GeeksforGeeks YouTube webinar — 7,000+ live attendees
- Microsoft Student Ambassador — delivered technical sessions on AI & Cloud to 500+ students
Journey
Highlights and milestones
Let’s Build
Interested in scalable systems, platform engineering, or cloud-native product work?
I’m open to high-impact engineering conversations and collaborations.