Profile
AI / ML Engineer with hands-on experience delivering production-grade, end-to-end machine learning
systems as part of a full-stack SaaS product in a regulated domain. Work spans problem framing,
data preparation, model selection, backend API development, evaluation workflows, UI integration, testing, and
iteration based on real-world feedback.
Strong systems background from game development, with emphasis on modular design, state management, performance
trade-offs, and reliability. Engineer with a strong focus on applied AI, automation, and building scalable ML
systems that operate reliably within complex, enterprise environments.
Experience
Machine Learning Engineer
Dec 2024 - Present
Core Solutions Inc.
- Built and owned end-to-end ML-powered product modules within a modern SaaS EHR
platform, spanning data preparation, model selection, backend services, and user-facing UI integration.
- Designed and integrated modular Python-based ML services exposed via REST APIs,
enabling reuse, testing, and controlled iteration across teams.
- Partnered with product and engineering stakeholders to translate business requirements into
deployable AI functionality, iterating based on internal feedback and usage patterns.
- Prototyped AI-driven features in a fast-paced environment while maintaining focus on stability,
maintainability, and integration readiness.
- Debugged issues across data pipelines, ML logic, APIs, and frontend integration,
ensuring stable delivery in a production environment.
- Led and owned Enterprise Data migration from heterogeneous environments with different
tech stacks, involving schema analysis, database mapping, automation, and error recovery strategies.
Game Developer
May 2024 - Nov 2024
Game Design Plus
- Developed event-driven, real-time gameplay systems with strict performance and
reliability constraints.
- Designed and implemented gameplay and UI state transitions, coordinating behavior across multiple game
contexts and interface layers.
- Built and debugged complex interactive systems under real-time conditions, strengthening systems
thinking, deterministic behavior, and fault isolation.
Projects and Applied Work
- Delivered AI-driven features as part of larger software platforms, emphasizing integration,
observability, and long-term maintainability.
- Built NLP-based services (intent classification, speech-to-text) deployed behind APIs and iterated using
structured evaluation feedback.
- Actively experimenting with agentic workflows and retrieval-augmented generation, focusing
on evaluation-driven system design.
- Freelance game development involving C++ and OpenGL, with focus on low-level systems,
rendering pipelines, and performance considerations.
Technical Skills
- Languages: Python, Java, JavaScript, TypeScript, C++, SQL
- ML and AI: PyTorch, TensorFlow, applied deep learning, model evaluation pipelines
- Web and Systems: Python backend services, REST APIs, modular system design, state
management
- Tools: MongoDB, Git, Linux, basic deployment and cloud workflows
Education
Bachelor of Technology in Computer Science — GPA: 9.21/10
Achievements
- National level academic competition experience demonstrating strong analytical and problem solving ability.
- Hackathon experience delivering end-to-end ML and NLP applications under tight time and resource
constraints.