AnanthaShayan
AI/ML • Backend Systems • Infrastructure
I build intelligent systems that combine AI, backend engineering, automation, and infrastructure. My work ranges from retrieval systems and recommendation engines to cloud deployments, observability stacks, and production-focused backend workflows.
I’m an AI/ML engineer focused on building practical systems that combine machine learning with scalable software engineering.
My interests include retrieval systems, semantic search, recommendation engines, backend APIs, workflow automation, and cloud infrastructure.
I enjoy understanding how systems work internally — from vector search pipelines and RAG architectures to deployment workflows, monitoring stacks, and distributed infrastructure.
Alongside AI development, I regularly work with Docker, Linux, FastAPI, PostgreSQL, Grafana, Prometheus, CI/CD pipelines, and cloud-based deployments.
Currently, I work as the Founding Tech Lead at an early-stage HealthTech startup, contributing across AI workflows, backend systems, automation, and technical architecture.
AI Systems
Retrieval systems, recommendation engines, and production-focused ML workflows
Infrastructure
Cloud deployments, Docker, monitoring, CI/CD, and backend systems
Engineering
Building practical systems with scalability, reliability, and usability in mind
Languages
AI / ML
Libraries & Frameworks
Infrastructure & DevOps
Databases
Tools & Workflow
01
AI Job Recommendation System
Semantic Retrieval & Vector Search
Semantic job matching system that combines vector search and hybrid retrieval techniques to match resumes with relevant job opportunities.
- Resume parsing and embedding pipeline
- Semantic + keyword search experimentation
- Vector database comparisons and optimal selection
- Skill gap analysis and ranking
02
SasyaSampada
AI Assistance for Farming
RAG-based agricultural assistant that retrieves domain-specific knowledge to provide contextual responses and crop-related assistance.
- Retrieval-Augmented Generation pipeline
- Semantic agricultural knowledge retrieval
- Location, price and weather aware Crop Recommendation system
- Predictive modelling
- Context-aware conversational responses
- Low-resource deployment design
03
E-Commerce Infrastructure System
DBMS • Backend • Observability • Deployment
Production-style e-commerce backend designed around real-world DBMS concepts, scalable APIs, observability, and deployment workflows.
- Transaction-safe order and payment workflows
- RBAC-based authentication and access control
- Database normalization and relational schema design
- Grafana + Prometheus monitoring stack
- RabbitMQ to handle async email processing
04
Non-Invasive Health Monitoring System
ML & Sensor Fusion
Machine learning-based health monitoring system focused on hydration estimation and diabetes risk assessment using sensor fusion.
- Sensor-based feature analysis
- Data preprocessing and model experimentation
- Hydration level estimation
- Team-based research and development
Founding Tech Lead · Healthrytix HealthTech Solutions
October 2025 – Present · AI / Automation • Infra and Deployment
- Developing AI-driven workflows and automation systems for healthcare operations
- Working across backend systems, infrastructure, deployment, and technical planning
- Building scalable automation pipelines using n8n and cloud-based infrastructure
- Contributing to architecture decisions across AI workflows and platform systems
IIT Ropar
Minor in Artificial Intelligence
Jan 2025 – Present
AI SpecializationJSS Academy of Technical Education
B.E. — Computer Science & Engineering (Artificial Intelligence & Machine Learning)
2024 – 2028
AI/ML MajorHave a project in mind or want to collaborate? Reach out — I'm always open to interesting conversations.