Production engineering experience. Practical AI experiments. Curiosity beyond the screen.
I’m a software engineer with experience delivering production platforms across fintech, healthcare, cloud infrastructure, and APIs. I’m currently building practical skills in machine learning, LLMs, RAG, and agentic AI.
My background combines full-stack development and technical leadership with a growing focus on AI engineering. I enjoy taking ideas from a concept to a working system: understanding the problem, designing the architecture, integrating services, and making the result useful.
- 🧑💻 Professional background: Ruby on Rails, backend systems, REST APIs, cloud infrastructure, CI/CD, and technical leadership
- 🤖 AI focus: machine learning, Transformers, LLMs, RAG, LoRA fine-tuning, diffusion models, and agentic workflows
- ☁️ Production engineering: AWS, Docker, databases, secure payments, and healthcare platforms
- 🔧 Outside work: open-source software, side projects, IoT, drone technology, and self-hosting applications
I’m interested in AI/ML and Generative AI engineering roles where solid software engineering and scalable system design matter.
🌐 More about my work: vajapravin.me
An agentic recommendation platform designed to use browsing behaviour and product information to provide more relevant recommendations.
- LangGraph workflow for behavioural analysis, retrieval, evaluation, refinement, and ranking.
- Semantic retrieval using ChromaDB to ground recommendations in a product catalogue.
- Candidate shortlisting followed by ranking.
- FastAPI backend and supporting data and observability tooling.
Technologies: Python LangGraph FastAPI RAG ChromaDB SQLite Docker LangSmith
A stateful multi-agent application for healthcare administration workflows, including patient interactions and appointment operations.
- LangGraph coordination between supervisor and specialist agents.
- Stateful conversations and tool-driven operations.
- API endpoints and persistent data.
- Local PII redaction using Microsoft Presidio.
Technologies: Python LangGraph FastAPI PostgreSQL SQLAlchemy Presidio Docker
A supervised machine learning project exploring customer churn prediction for a subscription-based streaming service.
Focus: Python Machine Learning Random Forest Classification Customer Analytics
The following are examples of professional work described in my resume and portfolio, not personal open-source repositories.
| Project | Domain | Experience |
|---|---|---|
| HelloZai | Fintech / Payments | Led a team of five; delivered payment integrations including PayPal, Worldpay, and Spreedly; worked on secure transaction data, monitoring, code quality, and CI/CD. |
| Indextra | Healthcare | Led development of a clinical decision-support platform for doctors and medical students, including Vue.js components, REST APIs, and encrypted e-book delivery. |
| EclairPlay | Digital cinema | Built Docker-based CI/CD, AWS ECS deployment, and Node.js microservices. |
| Merriam | Language technology | Developed a translation and language-detection cloud API. |
| Viasocket | Integrations | Built a multi-API integration tool. |
| KareIntellex / ClaimTime | Healthcare / Time management | Worked on healthcare and time-management platforms, including HIPAA-conscious APIs. |
| Autodesk BIM360 integration | Subscription billing | Developed an e-commerce subscription billing integration. |
For roles, dates, and more context, see my portfolio and LinkedIn.
Python · PyTorch · Hugging Face Transformers · scikit-learn · PySpark MLlib · NumPy · Pandas · LLMs · RAG · LoRA · Diffusion Models
Ruby · Ruby on Rails · JavaScript · Node.js · Vue.js · FastAPI · REST APIs · RSpec
AWS · Docker · CI/CD · PostgreSQL · MySQL · MongoDB · SQLite · Git · SVN
Technologies listed reflect my professional background, studies, and projects; experience varies by tool.
Technology is also a hobby. I enjoy experimenting, learning by building, and running projects outside a conventional development environment.
- 🌍 Free and Open Source Software (FOSS): exploring open-source tools and contributing where I can.
- 🧰 Hackathons and side projects: turning ideas into prototypes and learning through implementation.
- 📡 IoT and LoRa: experimenting with Arduino, ATmega328P, and ESP32-based projects.
- 🚁 Drone technology: exploring and experimenting with DJI Avata drone technology.
- 🖥️ Self-hosting: hosting applications and services on a private Synology NAS.
- 📚 Continuous learning: studying AI, exploring new tools, and building projects to reinforce what I learn.
These interests connect my software engineering experience with hardware, infrastructure, and hands-on experimentation.
- MCA, Master of Computer Applications — Sikkim Manipal University, India (2012–2015)
- BCA, Bachelor of Computer Applications — Saurashtra University, India (2006–2009)
- Star Performer Award — Teamified, 2023
- Captain Patona Award — Patona Technologies, 2023
- Hackathon participant — Viewwiser Technologies, 2021
- Advanced Android Certification — Mindscript, 2011
I’m interested in AI engineering, applied machine learning, Generative AI, open-source projects, and conversations about building useful and reliable software.
- 🌐 Portfolio: vajapravin.me
- 💼 LinkedIn: linkedin.com/in/vajapravin
- 💻 GitHub: @vajapravin
Build things. Keep learning. Experiment beyond the obvious.