Abhilash Raj
I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development. My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions.
I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning.
In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics.
What you can expect from me as a mentor:
- Clear, structured lessons—customized to your pace and background
- Real-world coding practices from enterprise-grade projects
- In-depth AI/ML concepts explained from scratch
- Doubt-clearing sessions before every new topic
- Practical examples connecting theory to implementation
If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
REVIEWS FROM CLIENTS
Leading a development workstream focused on enhancing a Generative AI-powered Q&A system for extracting insights from diverse busi...
Leading a development workstream focused on enhancing a Generative AI-powered Q&A system for extracting insights from diverse business documents.
• Engineered an CV and LLM-powered visual data extraction module to parse charts and graphs, feeding structured insights into the Q&A response framework.
• Enhancing the existing Retrieval-Augmented Generation (RAG) pipeline by integrating a dynamic business terminology lookup to improve query comprehension and response relevance.
• Conducted root cause analysis on a critical performance issue, identifying and rectifying a bottleneck that blocked API requests during background processing, restoring system stability.
• Developed and validated a Proof-of-Concept (PoC) for a secure, universal document ingestion and analysis feature, ensuring compliance by integrating with internal data anonymization services.
• Developed multi-geo Jenkins CI/CD pipelines for automated deployment, testing, and data refresh.
• Wrote Python & Shell sc...
• Developed multi-geo Jenkins CI/CD pipelines for automated deployment, testing, and data refresh.
• Wrote Python & Shell scripts to automate configuration validation, OAuth, and JNDI management.
• Automated key operational tasks (file management, audit logging, data refresh) to reduce manual effort.
• Led the creation of a multi-region deployment orchestrator with automated audit and confirmation gates.
• Authored advanced validation scripts and optimized data refresh processes to ensure deployment reliability.
• Added features in existing software application for bio informatics.
• Created notebooks to analyse big data and test accuracy...
• Added features in existing software application for bio informatics.
• Created notebooks to analyse big data and test accuracy and precision of developed software application against a source
of Truth.
• Learned R to work on new project that uses classifier for classifying cancer.
• Created Python scripts as utility to easily create profiles from 200+ samples.
• Experimented and analysed 100s of samples to test normalization method for classifier.