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Experienced Software Development Engineer with 9 years of expertise in developing RESTful web services, integrating user-facing elements, and designing server-side architecture.
I'm an individual contributor skilled in Python, MongoDB, PostgreSQL, Flask, FastAPI, and Microservices, with a strong understanding of relational and NoSQL databases. I have a proven track record of automating data movements and deploying backend applications to cloud platforms like AWS.
I've completed projects in NLP, Computer Vision, and Machine Learning, and excel at collaborating with internal teams to understand user requirements and deliver technical solutions. With strong debugging skills and a deep understanding of software engineering principles, I design modular, maintainable, and scalable backend applications using Python.
My professional journey through the years
September 2025 - Present
Oct 2024 - September 2025
Oct 2020 - June 2025
July 2017 - Sept 2020
June 2016 - June 2017
Technologies I work with
Some of my recent work
A scalable microservices platform for IoT data collection, processing, and analytics. Features real-time sensor data ingestion, analytical algorithms for predictive maintenance, and Python libraries for reusable components.
Enterprise-grade image processing system with 15+ microservices handling computer vision tasks. Features event-driven architecture with RabbitMQ, Redis caching, and containerized deployment using Docker and Kubernetes.
RESTful API service for natural language processing tasks including sentiment analysis, named entity recognition, language detection, and intent classification. Built with Flask and deployed on AWS with serverless architecture.
High-performance data processing pipeline using PySpark and Kafka for real-time batch and streaming data transformations. Includes custom Streamlit dashboards for data visualization and business insights.
Enterprise SaaS platform with multi-tenant architecture, RESTful APIs, and microservices design. Features SQLAlchemy ORM, PostgreSQL database, authentication/authorization, and CI/CD pipelines with Jenkins and GitLab CI.
Reusable Python library packages for IoT data processing and analytical algorithms. Designed as modular, maintainable components that can be integrated into microservices architecture. Includes comprehensive documentation and unit tests.
What keeps me inspired
Building complex image processing systems and computer vision applications using Python, OpenCV, and deep learning frameworks.
Working on NLP projects including NER, sentiment analysis, spam detection, language detection, and intent classification.
Designing and deploying scalable microservices architecture on AWS and Azure cloud platforms.
Building batch and streaming data pipelines using PySpark and Kafka to process high-volume datasets.
Architecting robust, scalable backend systems with microservices, event-driven architecture, and best practices.
Implementing automated CI/CD pipelines, containerization with Docker/Kubernetes, and infrastructure optimization.
Developing software applications and creating analytical algorithms for IoT projects with microservices and Python libraries.
Let's work together on your next project