ANIRUDH S
AI/ML Engineer specializing in production-grade machine learning pipelines, LLM orchestration (RAG/Agents), vector databases, and full-stack AI deployment.
About Me
I build applied AI systems end-to-end — from raw data pipelines to deployed products. Recent work spans multilingual mobile apps with on-device ML, RAG and agentic LLM orchestration pipelines, and high-performance async backends in FastAPI and Django. I move fast with modern AI tooling, write clean production code, and I'm looking for an engineering team building real products with machine learning at the core.
DEGREE
B.E. in AI & ML (CGPA: 7.77)
EXPERIENCE
2 Machine Learning & Android Internships
SHIPPED
8 End-to-End AI & Full-Stack Projects
Technical Stack
AI & Machine Learning11
AI Coding & Agent Tooling7
Languages5
Backend & Databases7
Frontend & Mobile4
Tools & Infrastructure7
FEATURED FLAGSHIP PROJECTS
AI SaaS platform for resume intelligence, GitHub portfolio analysis, and automated mock interview prep.
Recruiters and job seekers struggle to map complex candidate skill sets to job requirements accurately and quickly.
Built an async FastAPI backend using Supabase pgvector and LangChain to calculate hybrid semantic resume-to-job match scores, with sub-200ms candidate indexing.
Offline-first, multilingual mobile application for cattle breed identification and disease detection.
Rural farmers lack immediate access to veterinary diagnostic services in low-connectivity remote regions.
Trained lightweight Convolutional Neural Network (CNN) image classification models and optimized them into quantized TensorFlow Lite models deployed directly on-device.
Multi-agent job search assistant automating opportunity discovery, resume tailoring, and Kanban application tracking.
High-volume job searching is repetitive, manual, and difficult to track across disparate job portals.
Engineered a multi-agent orchestration pipeline using Gemini API, Celery task queues, and ChromaDB vector embeddings to match job descriptions with tailored resume variants.
ADDITIONAL PROJECTS & PROTOTYPES
Nimma-Guru
Community mentor directory connecting village students with local domain experts using Google Gemini.
CNN Visualizer
Interactive web dashboard for visualizing CNN feature maps, filter weights, and activation layers for model interpretability.
Self-Correcting Agent
Autonomous ReAct web research agent with self-evaluation loops, fallback LLM routing, and budget limits.
MessyData
Resilient multi-source ETL pipeline and fuzzy matching identity resolution engine for customer record reconciliation.
Community Connect
Civic engagement app connecting citizens with ward representatives using Firebase Auth and Supabase RLS.
_ SYSTEM_BOOT_LOG // CAREER_HISTORY
Android App Development Intern (Generative AI)
@ MindMatrix- ▶Architected Nimma-Guru, a community mentorship mobile platform in Kotlin & Jetpack Compose connecting students with verified local mentors.
- ▶Integrated Google Gemini 2.0 Flash to power AI mentor matching, voice query assistance, and multi-dialect content indexing.
- ▶Engineered scalable Firebase real-time sync and session scheduling, delivering 10+ responsive Material 3 screens within a 3-month cycle.
AI/ML Intern
@ HeproAI- ▶Engineered a multi-dimensional student analytics engine tracking Academic, Wellness, and Career Readiness metrics across 200+ profiles with sub-100ms inference latency.
- ▶Applied K-Means clustering for behavioral cohort segmentation to pinpoint risk indicators and automate targeted mentor interventions.
- ▶Built interactive analytical dashboards in Power BI and Python to visualize learner progress and risk signals in real time.
CREDENTIALS & VERIFICATION
B.E. in Artificial Intelligence & Machine Learning
CGPA: 7.77Srinivas Institute of Technology, Mangalore
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