Professional workspace with technology
ML Specialist & Full Stack AI Engineer

Transforming Ideas into AI Solutions

Machine Learning Specialist & Full Stack AI Engineer with experience in deploying production-ready AI systems. Expert in Generative AI, MLOps, and building scalable AI infrastructure that transforms research into real-world solutions across healthcare, finance, and beyond.

SS

About Me

A passionate AI engineer combining technical expertise with a mission to make AI accessible to everyone

The Person Behind the Code

With over 6 years of hands-on experience as a Machine Learning Specialist and Full Stack AI Engineer, I specialize in deploying machine learning models into production environments and building scalable AI infrastructure that drives real-world impact.

My expertise spans the complete ML lifecycle - from research and development to production deployment and monitoring. I'm passionate about translating advanced AI research into production-ready systems, with particular focus on Generative AI, RAG systems, and MLOps practices.

I combine deep technical knowledge with practical engineering skills to create AI solutions that solve complex problems across healthcare, financial services, and other domains. My mission is to democratize AI through education, practical applications, and knowledge sharing.

Core Values & Philosophy

Ethical AI Development

Committed to responsible AI development and deployment practices

Knowledge Sharing

Building communities through education and open collaboration

Practical Solutions

Focusing on real-world applications that solve actual problems

Continuous Innovation

Always learning and pushing the boundaries of what's possible

Technical Expertise

Machine Learning
Deep Learning
Generative AI
MLOps
TensorFlow
PyTorch
LangChain
RAG Systems
AWS Cloud
Docker/Kubernetes
Python
React/Next.js
FastAPI
Prompt Engineering
Computer Vision
NLP
Data Engineering
CI/CD
Serverless Architecture
Full Stack Development

Education & Certifications

🎓
Master of Science in Signal Processing

Nanyang Technological University, Singapore

☁️
AWS Certified Solutions Architect Associate

Amazon Web Services (2023)

🤖
ML/Deep Learning Specialization

ReddragonAI

🔬
Stanford Biodesign Innovation Program

A*STAR

6+
Years Experience
50+
Projects Completed
10+
Technologies Mastered
100%
Client Satisfaction

Technical Expertise

Comprehensive skills across the full AI/ML stack, from research to production deployment

Machine Learning & AI

TensorFlow, PyTorch, Scikit-learn, Keras
Generative AI & LLMs
LangChain, HuggingFace Transformers
RAG Systems & Prompt Engineering
Computer Vision & NLP

Cloud & Infrastructure

AWS (EC2, S3, Lambda, SageMaker)
Docker, Kubernetes, ECS/EKS
MLOps: MLFlow, DVC, Apache Airflow
CI/CD: GitHub Actions, AWS CodePipeline
Serverless Architecture

Full Stack Development

Python (Flask, Django, FastAPI)
React, Next.js, TypeScript
REST APIs, GraphQL
PostgreSQL, MongoDB, DynamoDB
Streamlit, Gradio

Key Specializations

Production ML

End-to-end ML pipelines from development to production monitoring

Generative AI

RAG systems, prompt engineering, and LLM fine-tuning

MLOps

Automated ML pipelines, model versioning, and monitoring

Full Stack AI

Complete AI applications from backend APIs to frontend interfaces

Featured Articles

Insights, tutorials, and thoughts on the latest developments in AI and machine learning

The Evolution of AI Agents: From Simple Automation to Intelligent Workflows
AI Agents
8 min read
The Evolution of AI Agents: From Simple Automation to Intelligent Workflows
Exploring how AI agents have transformed from basic rule-based systems to sophisticated autonomous entities capable of complex decision-making and workflow orchestration.
December 15, 2024
Read More →
Building Production-Ready RAG Systems: Lessons from the Trenches
RAG Systems
12 min read
Building Production-Ready RAG Systems: Lessons from the Trenches
A deep dive into the practical challenges and solutions for deploying Retrieval-Augmented Generation systems in real-world applications.
December 10, 2024
Read More →
MLOps in 2024: The Infrastructure Behind Intelligent Applications
MLOps
10 min read
MLOps in 2024: The Infrastructure Behind Intelligent Applications
How modern MLOps practices are enabling the seamless deployment and management of AI systems at scale.
December 5, 2024
Read More →

Let's Connect

Interested in collaborating, learning, or discussing AI? I'd love to hear from you.

Get In Touch

linkedin.com/in/sankar-seramani

What I Can Help With

  • AI/ML project development
  • Technical mentoring and career guidance
  • Speaking at conferences and workshops
  • Collaborative research opportunities
  • AI ethics and responsible development