Python
OOPDecoratorsVirtual EnvironmentsPackage Management (pip)Exception HandlingLoggingFile Handling
Available for opportunities
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.
About
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
Engineering Toolbox
Languages
04 toolsProduction
SQL
JoinsAggregationSubqueriesTransactionsNormalizationConstraintsIndexes
C
PointersMemory ManagementStructuresFile HandlingDynamic Memory
C++
OOPException Handling
AI & Machine Learning
05 toolsMachine Learning
ClassificationRegressionTime SeriesFeature EngineeringModel EvaluationCross ValidationHyperparameter TuningClustering
RAG
ChunkingEmbeddingsVector SearchContext RetrievalHybrid RetrievalMetadata FilteringLangChainPrompt Engineering
Recommendation Systems
Embedding SearchSimilarity RankingSkill MatchingHybrid Retrieval
NLP
EmbeddingsTokenizationText ProcessingVectorizationNERText ClassificationSentiment AnalysisPrompt Design
CNN
ConvolutionPoolingImage ClassificationFeature ExtractionTransfer Learning
Backend Development
02 toolsFastAPI
REST APIsDependency InjectionJWTMiddlewarePydanticAlembicpsycopgOpenAPIException Handlers
Flask
REST APIsRouting
Infrastructure & DevOps
05 toolsDocker
Docker ComposeImage OptimizationNetworkingVolumesHealth ChecksEnvironment VariablesPort MappingBind MountsMulti-stage BuildsDockerfile Best Practices
Linux
SSHNginxPermissions
Google Cloud
Compute EngineCloud StorageCloud SQLIAMSSHFirewall RulesStatic IPService Accounts
GitHub Actions
CI/CDBuildDeploySecretsWorkflows
Server Management
Linux VPSSSHReverse ProxySSLDeploymentDomain ConfigurationFirewall
Databases & Storage
03 toolsPostgreSQL
NormalizationTransactionsIndexesTriggersRBACConnection Pooling
MySQL
Schema DesignJoinsConstraints
Vector Databases (FAISS, Qdrant, Endee)
HNSWMetadata FilteringHybrid Search
Observability
02 toolsGrafana
DashboardsPanelsAlerting
Prometheus
MetricsExportersScraping
Developer Tools
03 toolsGitHub
GitBranchingPull RequestsMerge StrategiesCode ReviewsGit FlowRebase
Postman
CollectionsAuthenticationAPI Testing
n8n
Workflow AutomationWebhooksHTTPGoogle SheetsSchedulingAPI IntegrationError Handling
Projects
01
AI Job Recommendation System
Semantic Retrieval & Vector Search
MLSystems
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
PythonFlaskDockerSentence TransformersFAISSEndeeVector DatabasesSemantic SearchREST APILinuxGCP
02
SasyaSampada
AI Assistance for Farming
NLPSystems
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
PythonLangChainRAGFAISSEmbeddingsNLP
03
E-Commerce Infrastructure System
DBMS • Backend • Observability • Deployment
Systems
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
DBMSPostgreSQLDockerRabbitMQGrafanaPrometheusFastAPILinuxGCP
04
Non-Invasive Health Monitoring System
ML & Sensor Fusion
ML
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
PythonPandasMachine LearningData Processing
Experience
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
Education
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 MajorContact
Have a project in mind or want to collaborate? Reach out — I'm always open to interesting conversations.