Professional Overview
I am a purpose driven AI Software Development Engineer specialized in AI, ML, DL, Devops, Cloud, Docker, Software development, System design and refinement using AI tools. I have good hands on experience of the same in various product based organizations across the globe.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Leading the development of complex features using a multi-language stack.
- Architecting responsive front-end modules using TS, JS, HTML, and CSS
- Implementing LLM-driven code generation tools and automated unit testing.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Managed full SDLC for core engineering features, utilizing Go and C++.
- Developed automated deployment pipelines on AWS using Python scripts.
- Optimized high-traffic databases with SQL and improved UI responsiveness.
- Conducted rigorous code audits for C# and Python modules to eliminate risks.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed enterprise-level CLM features for 50+ global clients using C#, .NET.
- Automated regression testing suites in Python (Selenium) and developed custom.
- Integrated ElasticSearch for optimized metadata retrieval, leveraging Python.
- Engineered high-performance data processing modules in C++ and Go.
Education
Field of Study: Machine Learning, Data Science, AI, Software Development, Programming, Python, C
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
