Summary
Overview
Work History
Education
Skills
Certification
Interests
Timeline
Current Personal projects
Generic
Surya Pratap Barik

Surya Pratap Barik

Bengaluru

Summary

I am a Senior Backend & Platform Engineer with 8+ years experience designing, leading, scaling high-performance, distributed, and cloud-native systems that power millions of users in E-commerce, AdTech, and Analytics. I am adept in driving technical strategy, building core technologies, real-time engines, financial platforms, mentoring teams and delivering resilient mission-critical solutions using technologies like Java, Python, AWS, etc.

With a forward-looking approach, I am exploring Generative AI and Applied LLMs, building intelligent applications, combining strong backend expertise with next-gen AI innovation to create impactful product solutions.

Overview

9
9
years of professional experience
1
1
Certificate

Work History

Lead Engineer (Backend)

Splitkaro
01.2024 - Current
  • Built and scaled the core expense-splitting platform, implementing real-time financial calculations, debt reconciliation, and secure UPI payment integrations with high accuracy and reliability.
  • Architected performance optimizations and Gen-AI roadmap, leveraging caching, asynchronous processing, AWS CI/CD pipelines, monitoring, DB optimizations, Mixpanel analytics, and embedding-based Gen AI for expense categorization, SMS extraction, and group suggestions, improving latency by 40% and enhancing product intelligence.
  • Led product and engineering impact, mentoring engineers, driving data-informed product decisions, and developing automation tools that reduced manual operations, improved efficiency, and elevated user experience.

Software Development Engineer III

CommerceIQ
09.2022 - 04.2023
  • Revamped Ad Campaign Management Platform (Amazon Ads v1 → v3), leading end-to-end redesign to expand feature set, improve performance, and enable advertiser self-serve capabilities via Amazon Ads APIs.
  • Architected Real-Time Bid Adjustment Engine and Omnichannel Change Log Aggregator, integrating Amazon Ad DSP with ML-driven strategies for ROAS optimization, and building cross-platform audit/reporting systems to track bid and budget changes [Spring Boot, MongoDB, AWS SQS].
  • Built Data Pipelines and Workflow Automation, leveraging Azkaban and Snowflake to process vendor/seller data, detect inefficiencies, and generate searchable alerts in Elasticsearch, enhancing ad spend optimization and operational efficiency at scale.

Lead Software Engineer

GoIbibo-MakeMyTrip
08.2021 - 05.2022
  • Architected Travel Community Platform backend microservices, including orchestrator and recommendation engine, serving millions of users with 35% lower latency, 35% reduced CPU usage, and 90% fewer WebSocket drops via optimized TCP and heartbeat design [Java, Kafka, vert.x, Caffeine, Redis, MySQL].
  • Designed and scaled Persuasions & Rewards Engine, a real-time cashback/rewards service driving 15% uplift in bookings and 40% retention increase, handling 12K+ RPM peak traffic with A/B testing integration [Java, Kafka, vert.x, MySQL, Caffeine].
  • Built Offers & Coupons Platform and admin panel, enabling personalized and multilingual offers (Arabic, Hindi), mentoring engineers, improving code quality, and driving security and production-readiness across teams.

Senior Software Engineer (Full-Stack)

GoIbibo-MakeMyTrip
04.2016 - 07.2021
  • Developed Makemytrip Gift Cards Platform backend APIs and integrations with Quikcilver, launching a new monetization stream and enabling seamless user transactions.
  • Core contributor to In-House A/B Experimentation Framework, also built ReactJS admin panel, and multi-language SDKs (Java & Python) to drive company-wide adoption for all feature testing and data-driven decisions.
  • Delivered Core Platform Services for user management, permissions, coupons, and role-based access control, other core technologies ensuring scalable, secure, and maintainable backend/frontend systems [Java, Spring Boot, Vert.x, Cassandra, Kafka, Guice, ReactJS].

Education

B.Tech - Computer Science & Engineering

BIT Mesra
Ranchi, India
01.2016

12th board -

The Future Foundation School
Kolkata, India
01.2011

Skills

  • Core Engineering: Java, Python, JavaScript, Shell Scripting, HTML/CSS; Vertx, Dropwizard, Spring Boot, Guice, Hibernate; ReactJS, Redux; Maven, Gradle
  • Database & Caching: (Relational: MySQL, PostgreSQL), (NoSQL: MongoDB, Cassandra, DynamoDB, Couchbase), (Search & Indexing: Elasticsearch), (In-Memory & Caching: Redis, Hazelcast)
  • Data Platforms & Pipelines: Azkaban, Snowflake
  • Messaging, Cloud & DevOps: Kafka, AWS (EC2, ECS, S3, Lambda, IAM, CloudFormation, SQS, SNS); Docker, Kubernetes, Jenkins, Git, GitLab, Bitbucket; (Monitoring & Alerts: ELK, Prometheus, Grafana, MixPanel, PagerDuty, CloudWatch), (Code Quality: SonarQube)
  • Generative AI & NLP: LLMs, RAG(Retrieval-Augmented Generation), Agentic AI, LangChain, LLaMA Index, Vector DBs (FAISS/Chroma), Prompt Engineering, NLP Pipelines

Certification

  • M101P: MongoDB for Developers
  • IBM: Develop Generative AI Applications
  • IBM: Advanced RAG with Vector Databases and Retrievers Professional Certificate


Interests

  • Structural & Functional Systems Analysis, Curiosity and a Passion for Learning
  • Behavioral Science & Psychology enthusiast
  • Fitness and Nutritional Science

Timeline

Lead Engineer (Backend)

Splitkaro
01.2024 - Current

Software Development Engineer III

CommerceIQ
09.2022 - 04.2023

Lead Software Engineer

GoIbibo-MakeMyTrip
08.2021 - 05.2022

Senior Software Engineer (Full-Stack)

GoIbibo-MakeMyTrip
04.2016 - 07.2021

B.Tech - Computer Science & Engineering

BIT Mesra

12th board -

The Future Foundation School

Current Personal projects

  • Conversational AI & Agentic Workflows: Built chatbots with Generative AI, LLMs, memory, multi-turn reasoning, and agentic toolkits (APIs, DBs) to handle complex tasks, demonstrating autonomous orchestration capabilities.
  • Document Intelligence & Retrieval: Designed RAG pipelines with LangChain, LLaMA Index, and vector databases for contextual Q&A, long-document summarization, and sentiment analysis from product reviews.
  • Applied AI & User Experience: Prototyped real-world applications such as a LinkedIn Icebreaker Bot and Skill Distribution Analyzer, delivering interactive UIs to showcase capabilities for business and HR use cases.
Surya Pratap Barik