Backend Engineer (SDE-2)

Java | Spring Boot | Distributed Systems | Kafka | Cloud

📍 Noida, India
📧 [email protected]
🔗 LinkedIn | GitHub

Backend Engineer with 4+ years of experience building and supporting
distributed backend systems using Java, Spring Boot, Kafka, Redis, and SQL Server.
Worked across a 14+ microservices platform, driving observability improvements,
developer productivity initiatives, and a Spring Boot 2 → 3 migration POC.
Currently developing AI-driven document redaction systems using Azure OpenAI and LangChain,
with a strong focus on performance, cost optimization, and production reliability.

Backend Engineer (SDE-2 Equivalent)
Sep 2023 – Present | Noida, India

• Replaced manual bug reproduction workflows by implementing
  MDC-based correlation IDs, enabling engineers to trace failures end-to-end
  in Elasticsearch using a single request ID and reducing incident investigation
  time from hours to seconds.
• Drove a Spring Boot 2 → 3 migration initiative across multiple services,
  resolving Jakarta namespace incompatibilities and validating a safe migration
  approach before handover during the QA phase.
• Reduced new-developer onboarding time from weeks/months to 2–3 days by
  designing a local database migration workflow using DBeaver, enabling
  reliable local setups and faster, isolated bug reproduction.
• Ensured SLA compliance, production stability, and safe releases through
  collaboration with QA and product teams.

Python, Flask, Azure OpenAI, LangChain

• Designed and implemented an AI-driven document redaction pipeline for masking
  sensitive information in enterprise documents at production scale.
• Optimized prompt design and output structure, reducing token usage from
  ~10k to ~3k tokens and cutting AI processing costs by 60–70%, while
  improving redaction accuracy from ~60% to ~95%.
• Built scalable workflows with document chunking, asynchronous processing,
  rate limiting, and content reassembly to balance throughput, latency, and cost.
• Fixed formatting issues in OCR-processed PDF documents by programmatically
  reconstructing broken table structures, restoring ~95% layout accuracy,
  and integrated secure storage using Azure Blob Storage.

Backend Engineer
Jun 2021 – Sep 2023 | Noida, India

• Built and optimized backend services for real-time ticket booking, wallet
  top-ups, and KYC workflows supporting high-volume transactional traffic.
• Integrated high-traffic third-party systems including IRCTC, RedBus, and PayU,
  ensuring fault tolerance and reliable payment processing.
• Improved API latency and throughput using Redis caching and asynchronous processing.
• Implemented Kafka-based event-driven flows for transactional and notification use cases.

• Spearheaded backend development for a digital agent onboarding system,
  significantly reducing onboarding turnaround time.
• Collaborated with frontend and business teams to design scalable REST APIs.
• Maintained a ~97% bug resolution rate, improving platform stability and customer trust.

Core Backend:
Java (8–21), Spring Boot, REST APIs, Microservices, Hibernate/JPA

Data & Messaging:
PostgreSQL, SQL Server, Kafka, Redis

System Design:
Distributed Systems, Event-Driven Architecture, Scalability, Performance Optimization

Cloud & DevOps:
Azure (Blob Storage, Service Bus, SQL Database), AWS S3, Docker, CI/CD (Azure DevOps)

AI & Automation:
Azure OpenAI, LangChain, Generative AI Pipelines, Prompt Engineering

• Counsellor Extraordinaire – EY
  Leadership excellence and team ownership
• Ace Award – Spicemoney
  Top performer for technical impact and delivery

Master of Computer Applications (MCA)
Lovely Professional University | 2019 – 2021

Bachelor of Computer Applications (BCA)
Jamuni Lal College | 2015 – 2018