I am a software engineer with experience building Python-based backend systems, data processing pipelines, APIs, automation workflows, and production applications.
I work across backend engineering, data transformation, database optimization, and API integrations. My core technical background includes Python, SQL, Java, TypeScript, JavaScript, Go, and C/C++.
I have delivered scalable services and observability solutions using cloud and DevOps technologies such as Docker, Kubernetes, Jenkins, GitLab CI/CD, Prometheus, Grafana, and ELK Stack.
I also have hands-on experience in data engineering and AI/ML, including LLM pipelines, RAG, PyTorch, scikit-learn, computer vision, predictive modeling, and real-time processing systems.
I bring strong ownership, problem-solving, mentoring, and end-to-end delivery skills. I focus on reliable data flows, scalable backend services, monitoring, performance optimization, and maintainable production deployments.
Developed scalable backend applications and automated Python-based processing pipelines for operational workflows.
Built monitoring dashboards and observability solutions using Python, SQL, Prometheus, Grafana, and ELK Stack, improving visibility across more than three international markets. Integrated workflows with more than five CRM platforms and optimized SQL queries and reporting logic to resolve performance bottlenecks and improve scalability.
Engineered and deployed full-stack applications using Flask, GraphQL, gRPC, and PyTorch, contributing to a reported 25% increase in company profitability. Developed intelligent processing and automation pipelines for advanced search, real-time processing, and distributed environments.
Built computer vision and facial-recognition systems for edge and production deployments. Implemented CI/CD and deployment automation with Jenkins, GitLab Pipelines, Docker, Kubernetes, and Helm, and mentored a team of more than four interns while contributing to NLP and neural architecture search research publications.
Built predictive models and conducted exploratory data analysis using Python, Pandas, and scikit-learn.
Automated data transformation and reporting workflows with Python and SQL. Developed interactive dashboards using Power BI and Python visualization libraries.
Master of Computer Applications, Computer Applications
Final score: 82.1%.
Bachelor of Computer Applications, Computer Applications
Final score: 78.6%.
This professional hasn’t added portfolio projects yet.
This professional hasn’t listed any services yet.
