Bachelor's Degree

Built scalable backend systems and full-stack operational tools supporting high-volume transactional workflows in enterprise environments
•Designed and developed Python-based microservices (Flask/FastAPI) integrated with internal web applications and operational dashboards
•Built real-time event-driven streaming pipelines using Kafka, enabling large-scale data processing and system synchronization
•Developed React-based internal tooling and dashboard interfaces for operations and engineering teams
•Built large-scale ETL workflows using Apache Airflow, supporting scheduled ingestion and transformation of enterprise datasets
•Engineered Spark-based distributed data processing jobs for analytics and reporting systems
•Improved system performance by introducing Redis caching layers, reducing API latency and improving UI responsiveness
•Optimized PostgreSQL database architecture through query tuning, indexing strategies, and schema redesign for high-concurrency workloads

Backend & Full-Stack Systems Engineer

Developed internal healthcare applications and workflow automation systems supporting clinical and operational teams.
•Built Python-based full-stack web applications using Flask and server-rendered UI frameworks (Jinja, HTML/CSS/JavaScript)
•Developed internal dashboards and workflow automation systems for healthcare data processing and reporting •Designed and implemented REST APIs powering enterprise internal tools and CRUD systems
•Built data processing and automation tools for large-scale healthcare datasets and operational workflows •Worked extensively with SQL Server and PostgreSQL backend systems supporting enterprise applications •Prototyped early ML-based analytics features using scikit-learn for internal decision-support tools

Full Stack Engineer

Led architecture and development of enterprise-grade full-stack platforms combining distributed backend systems with AI-powered internal applications used across engineering and operations teams
•Architected and delivered an AI-powered enterprise platform integrating LLMs, RAG pipelines, embeddings, and LangChain-based orchestration workflows for internal automation and knowledge systems
•Built and scaled FastAPI/Django microservices powering internal React-based dashboards and workflow tools used for operational monitoring and AI pipeline execution
•Designed event-driven distributed systems processing millions of asynchronous events using Kafka, AWS SQS, and Celery
•Led modernization of legacy monolith systems into cloud-native microservices architecture on Kubernetes (EKS) with Terraform-based infrastructure automation

Senior Full-Stack Engineer

<ul><li>Developed internal web applications using Python, Flask, JavaScript, HTML, and CSS</li><li>Built and enhanced REST APIs to support internal tools and automate business workflows by 30%</li><li>Wrote SQL queries and assisted with PostgreSQL database design and performance improvements</li><li>Fixed software defects, wrote unit tests, and participated in code reviews within an Agile team</li><li>Collaborated with senior engineers to design, implement, and deploy new application features</li><li>Assisted with CI/CD automation and Linux-based application deployment</li></ul>

Software Engineering Intern

Senior Python Full-Stack Engineer with 10+ years of experience

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