Professional Summary
Backend Software Engineer with 2+ years of experience building scalable microservices using Java and Spring Boot. Experienced in distributed systems, Kafka-based event processing, and PySpark data pipelines. Delivered 35-60% cost reductions, handled 800K+ QPS serving 100M+ users, and built reusable frameworks adopted across multiple teams.
Architect and develop high-performance systems with under 30ms p95 latency. Design event-driven architectures with zero-downtime migrations using Kafka, Redis, Aerospike, and gRPC. Build comprehensive observability solutions and optimize system reliability through query optimization and caching strategies.
Technical Skills
Languages
Java, Python, SQL, JavaScript
Backend & Frameworks
Spring Boot, Kafka, Kafka Streams, gRPC, Protobuf, Flask
Data Processing
Apache Spark, PySpark, ETL Pipelines, Batch Processing
Databases & Caching
Redis, Aerospike, PostgreSQL, MySQL, ClickHouse
Infrastructure & DevOps
Kubernetes, Docker, Helm, GCP (GKE, GAR), CI/CD Pipelines
Monitoring
Prometheus, Grafana, Distributed Tracing, JVM Profiling
System Design
Microservices Architecture, Event-driven Systems, Circuit Breaker, Dual-Write, API Versioning
Education
M.Tech. Artificial Intelligence & Machine Learning (April 2026 - Present)
BITS Pilani — Work Integrated Learning Programme
Bachelor of Technology in Computer Science (CGPA: 9.10 / 10.00) 🥈 Silver Medalist
Rajasthan Technical University — Aug 2019 to July 2023
Experience
Sept 2023 – Present
SDE 1 - Backend Developer
Glance, InMobi — Bengaluru, IN
- Architected and built content enrichment microservice (Java/Spring Boot) from scratch handling 800K+ QPS with under 30ms p95 latency using Kafka, Protobuf, Redis, Aerospike serving 100M+ users
- Designed dual-write architecture with protocol adapter enabling zero-downtime migration and seamless integration of new data sources across distributed systems
- Optimized PySpark pipelines reducing compute costs by 35% through DataFrame caching and fixed production memory leak using heap dump analysis
- Built dynamic configuration service with gRPC powering 10+ microservices, eliminating hardcoded configs and enabling semantic versioning for backward-compatible rollouts
- Created reusable observability framework with gRPC interceptors and Prometheus metrics adopted across 5+ services; built cache layer reducing API costs by 60%
- Improved system reliability through event-driven batch processing with stale message detection and query optimization reducing database load by 40%
- Built GDPR compliance API with region-based access controls, batch processing of 10K+ records, and automated monitoring eliminating manual workflows
- Deployed release automation platform (Python/Flask) on GKE with Helm and CI/CD pipelines reducing deployment time by 90%; managed Protobuf versioning across 10+ services
Tech: Java, Spring Boot, Kafka, Kafka Streams, gRPC, Protobuf, Redis, Aerospike, PostgreSQL, ClickHouse, PySpark, Kubernetes, Docker, Helm, GCP (GKE, GAR), Prometheus, Grafana, Distributed Tracing
May 2022 – July 2022
ML Engineering Intern
Celebal Technologies — Jaipur, IN
- Built video recommendation system using machine learning techniques, processing user interaction data to generate personalized recommendations and improving click-through rate (CTR) by 1.4%
Tech: Python, Machine Learning, Recommendation Systems
Projects
Amazon Review Sentiments Analysis
Machine Learning / NLP Project
- Built sentiment analysis system processing Amazon product reviews using NLP techniques and machine learning algorithms
- Implemented text preprocessing pipeline with tokenization, stemming, and TF-IDF vectorization for feature extraction
- Trained and evaluated multiple classifiers (Naive Bayes, SVM, Random Forest) achieving 87% accuracy in sentiment classification
- Deployed interactive web interface using Flask for real-time sentiment prediction on user-submitted reviews
Tech: Python, NLTK, scikit-learn, Pandas, Flask, NLP, Machine Learning
Achievements
🏆 Avengers Award at Glance (InMobi)
🥈 Silver Medalist - Rajasthan Technical University
📜 Microsoft Certified - Azure AI & Data Fundamentals
💻 LeetCode Rating 1577 (Top 25%)
🥈 Smart India Hackathon 2022 Runner-Up