Backend & Data Engineering Leader | 14+ Years Experience
Architecting scalable solutions across cloud platforms
Dynamic Backend and Data Engineering leader with 14 years of hands-on experience architecting and optimizing large-scale, production-grade data pipelines, microservices, and ML workflows across AWS, GCP, Azure, and Informatica.
Demonstrated expertise integrating and deploying LLMs and GenAI models in real-world scenarios, leveraging SageMaker, FastAPI, Golang, and custom Python workflows for advanced solutions in retail automation, image analytics, recommendation systems, and vector-based retrieval.
Adept at delivering end-to-end cloud-native systems, orchestrating high-performance data operations, and translating complex business needs into robust, scalable technical architectures.
Full-stack proficiency in modern technologies
Golang (Gorilla/Mux) • Java/Kotlin (Spring) • FastAPI • Express.js • Django • Flask
AWS (Lambda, Redshift, SageMaker, ECS, Glue) • Azure (IoTHub, ML Studio) • GCP
Spark/PySpark • Databricks • Snowflake • Airflow • DBT • AWS Glue • DMS
LLMs • PyTorch • AWS SageMaker • Generative AI • LangChain • Vector DBs (Pinecone)
PostgreSQL • MySQL • MongoDB • Redis • Apache Druid
Docker • Terraform • Jenkins • GitHub Actions • Grafana • PowerBI
Building cutting-edge solutions
Building Golang-based REST APIs for in-house LLM models with FastAPI backend for data pipeline orchestration.
ML-powered image classification system using CLIP model and Pinecone vector database with AWS Lambda integration.
Designing scalable data lake infrastructure from scratch with automated ETL workflows and monitoring.
Sharing insights and experiences
Exploring patterns and best practices for building high-performance REST APIs in Go, with real-world benchmarks and optimization techniques.
A deep dive into deploying and scaling Large Language Models in production environments, covering infrastructure, monitoring, and cost optimization.
Lessons learned from migrating legacy systems to cloud-native microservices architecture, including challenges and solutions.