HarshaS MantrodiAI/ML & Cloud Engineer
AI/ML & Cloud Engineer specializing in Generative AI, Kubernetes, MLOps, and production-ready intelligent systems. From model training to production pipelines, cloud infra to MLOps — I ship end-to-end.
Who I Am
Engineering-focused. Production-grade. Always shipping.
I'm Harsha S Mantrodi, an AI/ML & Cloud Engineer based in Bengaluru — operating at the intersection of machine learning systems and production cloud infrastructure.
Currently working as a DevOps Engineer Trainee at MATRIQZ AI, I wire together CI/CD pipelines, containerized ML deployments, and AWS cloud infra to make intelligent systems actually work in production.
My stack spans time-series forecasting, generative AI (SDXL/LoRA), NLP pipelines, computer vision, and cloud-native DevOps. I don't just train models — I architect production systems around them.
I think like a founder: every model has a customer, every pipeline has an SLA, every deploy needs to be bulletproof. That's the engineering mindset I bring to every role.
Harsha S Mantrodi
AI/ML & Cloud Engineer
Available for Opportunities
ML / MLOps / DevOps — Full-time or Freelance
Tech Stack
Full competency matrix across AI/ML, Generative AI, Cloud, and DevOps.
AI & Machine Learning
8 technologies
Generative AI
8 technologies
Cloud & DevOps
8 technologies
Backend & Tools
8 technologies
Things I've Shipped
Production-grade systems, not just experiments.
BrandEngine AI
Production-Ready Minimalist Logo Generation for Startups
Custom AI engine trained on 800+ professional icons solving the brand consistency problem in generative AI. Delivers clean, flat-vector logos tailored to industry visual language — Agri-Tech, Fintech, Mechanical Engineering — optimized for clarity from favicons to large-scale print.
Cloud-Native Sentiment Analysis System
Microservices ML Platform on Kubernetes
End-to-end containerized ML platform with FastAPI microservices, Kubernetes orchestration, and automated Jenkins CI/CD. Processes real-time sentiment at scale with horizontal pod autoscaling and zero-downtime deployments.
AI Hand Gesture Recognition
Real-Time Computer Vision for Presentation Control
Real-time gesture recognition pipeline using MediaPipe hand landmark detection and LSTM deep learning. Low-latency inference optimized for standard webcam hardware with face detection integration.
Car Sales Analysis & Price Prediction
Time-Series Forecasting with ARIMA + ML
Predictive pricing engine using ARIMA time-series forecasting and regression models on historical auto sales data. Full pipeline: data cleaning → feature engineering → model evaluation → trend analysis.
CI/CD Pipeline Automation
End-to-End DevOps Automation
End-to-end CI/CD pipelines automating build, test, and deployment workflows. Significantly reduced manual deployment effort and improved release reliability across environments.
Where I've Built Things
Real environments, real systems, real impact.
DevOps Engineer Trainee
CurrentMATRIQZ AI, LLP
Jan 2026 – Present
Full-TimeDeploying and managing ML workloads on AWS cloud infrastructure. Building CI/CD pipelines for ML and application deployments. Working with Docker and Kubernetes for scalable orchestration.
- Deploying ML workloads on AWS (EC2, S3, IAM, CloudWatch)
- Building CI/CD pipelines using Jenkins and GitHub Actions
- Docker + Kubernetes for scalable application orchestration
- Monitoring and automating AI/ML infrastructure at scale
Machine Learning Intern
Future Interns
Sep – Nov 2025
InternshipBuilt ML models for forecasting, churn prediction, and NLP chatbots. Handled the full ML pipeline from data ingestion to production-ready evaluation.
- ML models for sales forecasting and churn prediction (10–15% improvement)
- ARIMA time-series forecasting and NLP chatbot systems
- Full pipeline: preprocessing → engineering → training → evaluation
- Experiment tracking with Git/GitHub
DevOps Intern
Elevate Labs
Aug – Sep 2025
InternshipContributed to cloud infrastructure management, CI/CD automation, and containerized deployments.
- Automated cloud infrastructure workflows (~30% reduction)
- CI/CD pipelines using Jenkins & GitHub Actions
- Docker containerization and Kubernetes deployments
- System reliability monitoring and performance metrics
B.E. in AI & Machine Learning
CurrentSt. Joseph Engineering College
2023 – Present
EducationCore AI/ML, cloud computing, data structures, and software engineering fundamentals. Mangalore, Karnataka.
- Core AI/ML, cloud computing, data structures
- Software engineering fundamentals and system design
- Prior: Diploma in Tool & Die Making (2019–2022)
Credentials
Verified certifications from Stanford, Google Cloud, AWS, and more.
Supervised Machine Learning: Regression & Classification
Stanford University
Machine Learning Operations (MLOps) Fundamentals
Google Cloud
AWS Cloud Quest: Cloud Practitioner
Amazon Web Services
AWS Solutions Architecture Job Simulation
Amazon Web Services
Data Analytics Job Simulation
Deloitte Australia
Fundamentals of Cloud Computing
Cloud Certification Program
Open Source Activity
Code, contributions, and engineering footprint.
GitHub Stats
Top Languages
Streak Stats
Top Repositories
Let's Build Something
Open to full-time roles, collaborations, and ambitious projects.
Actively seeking ML Engineering, MLOps, or DevOps roles. Building something ambitious? In Bengaluru, remote, or anywhere — let's talk.
harshamantrodi2515@gmail.com
Phone / WhatsApp
+91 7829149794
Location
Bengaluru / Remote, India
GitHub
github.com/HarshaMantrodi
harsha-mantrodi-ml-do
Available Now
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