Anirudh S
@anirudhs1
I build production-grade AI systems, agentic platforms, and intelligent mobile applications.
IndiaWhat I'm looking for
I've built AI career intelligence products including Hirenix, a full-stack SaaS that unifies resume, GitHub, and LinkedIn data into candidate profiles. Its hybrid scoring engine combines ATS parsing and pgvector semantic similarity with sub-200ms async FastAPI responses.
I also built an AI Career Copilot with independent agents for resume parsing, job discovery, match scoring, company research, and outreach generation. The platform discovered and scored 447 job listings using a weighted matching engine and NVIDIA NIM-powered semantic similarity.
At MindMatrix, I developed Nimma-Guru, a Kotlin and Jetpack Compose mentorship app with Firebase-powered scheduling, profiles, and multilingual content. I integrated Google Gemini 2.0 Flash for mentor recommendations and voice-assisted interactions.
During my HeproAI internship, I developed student analytics, K-Means behavioral cohorts, and mentor recommendations across 200+ profiles. I’m seeking AI/ML Engineering and Generative AI opportunities where I can build practical, production-ready systems.
Experience
Work history, roles, and key accomplishments
Android App Development Intern
MindMatrix
Feb 2026 - May 2026 (3 months)
Developed Nimma-Guru, a community mentorship Android application using Kotlin and Jetpack Compose, integrating Firebase backend services and Google Gemini 2.0 Flash for AI-powered mentor recommendations and voice-assisted interactions.
AI/ML Intern
HeproAI
Jan 2026 - Mar 2026 (2 months)
Designed a data-driven student analytics framework tracking Academic, Wellness, Productivity, and Career Readiness dimensions across 200+ student profiles. Implemented composite scoring algorithms and K-Means clustering to segment learners into behavioral cohorts, improving intervention targeting accuracy by approximately 30%.
Education
Degrees, certifications, and relevant coursework
Srinivas Institute Of Technology
Bachelor of Engineering, Artificial Intelligence and Machine Learning
2022 -
Grade: CGPA: 7.77
Pursuing a B.E. in Artificial Intelligence and Machine Learning with a CGPA of 7.77.
NHSS Vakayad
Pre-University, Bio Science
2020 - 2022
Grade: 85%
Completed Pre-University in Bio Science with a percentage of 85%.
Tech stack
Software and tools used professionally
Google Cloud Platform
Docker Compose
GitHub Actions
Flutter
Jupyter
NumPy
Pandas
PostgreSQL
MongoDB
Django
Next.js
Redis
Android Studio
React
JavaScript
Python
Kotlin
TensorFlow
scikit-learn
Streamlit
Tensorflow Lite
Celery
Flask
FastAPI
SQLAlchemy
Firebase
Vercel
TypeScript
Git
Docker
Render
SQL
Supabase
LangChain
ChromaDB
pgvector
NVIDIA NIM
Power BI
Availability
Location
IndiaAuthorized to work in
Salary expectations
Skills
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