Priyank Baliyan

Software Engineer

Noida, Uttar Pradesh, India3 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built AI-powered platforms integrating enterprise systems.
  • Developed real-time systems for global sports events.
  • Achieved significant performance improvements in AI applications.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and Cloud-native solutions.

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Skills

Core Skills

JavaTerraformAwsData AnalysisFlutter

Other Skills

Spring BootGenAIMicroservicesData ProcessingCloud ArchitectureSQLOOPsAWS KinesisPostgreSQLAWS BedrockLog5 methodGitDartAPI GatewaysLarge Language Models (LLM)

About

With nearly 4 years of professional experience in backend and cloud-native development (AWS, serverless, IaC), I’ve contributed to Sports platforms like the Australian Open and Roland Garros, enabling interactive experiences for millions of fans worldwide. Currently, building AI Agentic Platforms at Boomi, that integrate with enterprise systems to automate complex workflows at scale.​​​​​​​​​​​​​​​​ I specialize in Java, Spring Boot, Spring Cloud Gateway, and AWS, building high-throughput APIs, serverless architectures, and cloud-native infrastructure with Terraform based IaC, with extensive Gen AI experience ranging from RAG-based chatbots and AWS Bedrock to full-scale AI Agentic platforms. At Infosys, I worked on global Grand Slam platforms like the Australian Open and Roland Garros, building systems that served millions of fans during live tournaments. ∙ Built a real-time player leaderboard for the Australian Open that tracked live match standings and stats across rounds, leveraging AWS Kinesis and Java parallel streams to deliver a 40% reduction in data latency. ∙ Developed an AI-powered chatbot using Java Spring Boot and AWS Bedrock, implementing RAG with optimized chunking and a multi-step query classifier with dynamic filtering; processing millions of match records, reducing response time by 30%, and achieved a TTFT of ~5 seconds. ∙ Engineered live winner probability models for Roland Garros achieving 95%+ accuracy, leveraging the Log5 method and past Head to Head records of players to dynamically adjust predictions mid-match. Beyond work, I believe in continuous learning and sharing knowledge. I actively participate in coding challenges to sharpen my Data Structures and Algorithms and have solved over 550 problems on LeetCode, ranked among the top in competitive programming contests like Codechef and HackerEarth, and achieved recognition in Infosys' HackWithInfy. Skills: Languages: Java, Python, SQL Development: Web Development, Backend Development, REST, Microservices, IAC Framework: Spring Boot, Terraform, Spring Cloud, Spring Cloud Gateway, FastAPI Cloud: AWS (Lambda, Bedrock, Kinesis, S3, EC2, EKS, Route 53, DynamoDB, VPC, WAF, ECR, ECS, CloudWatch, API Gateway, CloudFront) Area of Interest: Microservices Architecture, Backend Development, General: Data Structures, Algorithm, OOPs, System Design Others: Github, Postman, Git

Experience

3 yrs 10 mos
Total Experience
2 yrs 9 mos
Average Tenure
1 yr 1 mo
Current Experience

Boomi

Software Engineer 2

May 2025Present · 1 yr 1 mo · Greater Noida · Hybrid

JavaTerraform

Infosys

Specialist Programmer

Aug 2022May 2025 · 2 yrs 9 mos · Noida, Uttar Pradesh, India · Hybrid

  • Developed and shipped APIs in Java Spring Boot to power global platforms like Australian Open and Roland Garros, serving millions of users worldwide.
  • Designed and implemented microservices to enhance AI Powered Chatbot’s response time by 30% using AWS Bedrock, AWS Lambda, and a real-time knowledge base.
  • Built a real-time player leaderboard for the Australian Open that tracked live player standings and stats across rounds, using AWS Kinesis for data ingestion, reducing latency by 40% through Java parallel streams and PostgreSQL batch inserts.
  • Built the Key Stats feature in Node.js, processing over 10,000 live events daily using AWS Kinesis Streams and integrating real-time data APIs.
  • Developed live winner probability models for Roland Garros using the Log5 method and Head to Head records, dynamically adjusting predictions with 90%+ accuracy during live matches.
  • Skills: Java, Spring Boot, AWS, GenAI, Microservices, Data Processing, Cloud Architecture, SQL, OOPs
  • Certifications: AWS Cloud Practitioner | Infosys Certified Software Engineer | GenAI & Prompt Engineering
JavaSpring BootAWSGenAIMicroservicesData Processing+3

Bluepointer

Intern

May 2021Sep 2021 · 4 mos · Bengaluru, Karnataka, India · On-site

  • Launched a multi-telecom recharge app on Google Play Store, scaling to 1M+ downloads and 3.9/5-star ratings by optimizing user flows and integrating payment gateways, enabling seamless transactions across 4+ telecom providers.
  • Automated retry workflows for failed transactions, gateway timeouts using Flutter/Dart, resolving 85% of payment errors without manual intervention and improving recharge success rates from 92% to 98.5%.
FlutterGit

Education

J S S Academy of Technical Education, BANGALORE

Bachelor of Engineering - BE — Computer Science

Jan 2018Jan 2022

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