ALAN SABU JOHN
Data Analyst → AI/ML Engineer
DATA ANALYST
Transforming Data Into Actionable Insights
AI/ML ENGINEER
Building Intelligent Systems & AI Solutions
About Me
AI Engineer & Data Analyst specializing in building intelligent, data-driven systems using Machine Learning, Large Language Models, and Business Analytics. I transform complex data into actionable insights through scalable AI solutions.
Currently an AI Engineer at Raftel Technologies, I develop production-ready RAG systems, conversational agents, and enterprise AI applications. Previously, I worked as a Project Associate at NIT Calicut on COEAI (SAMUDRA), a Ministry of Education research initiative, where I built AI-powered inspection systems using computer vision and OCR pipelines.
My expertise includes Python, SQL, TensorFlow, PyTorch, LangChain, LlamaIndex, FastAPI, and cloud platforms (GCP, Azure, IBM Cloud). I'm also proficient in Tableau, Power BI, PostgreSQL, and data visualization. I combine analytical reasoning with technical innovation to solve complex problems and turn cutting-edge research into practical solutions.
Skills
Data Skills
AI/ML Skills
Tech Stack
Projects
Local LLM Finetuner App
A privacy-first, local-only application for fine-tuning Large Language Models on desktop/server machines with 6-24 GB GPU memory. Features parameter-efficient fine-tuning (LoRA, QLoRA), full fine-tuning, supervised fine-tuning, knowledge distillation, RLHF/DPO, RAG support, and multi-model orchestration.
AutoML Data Scientist Application
An automated machine learning application that automatically selects and trains the most appropriate algorithms for datasets. Supports traditional ML, deep learning, NLP, computer vision, time series, clustering, and ensemble models with comprehensive visualization and report generation.
Real-Time Food Calorie Estimator
Computer vision and machine learning project for real-time food calorie estimation. Uses computer vision techniques to identify food items and estimate their nutritional content and calorie count.
Visual Accessibility Assistant
An AI-powered visual accessibility assistant designed to help users with visual impairments. Utilizes computer vision and AI to provide real-time assistance and improve accessibility.
Experience
AI Engineer (Part-time)
Raftel Technologies Pvt. Ltd.
Kochi (Remote)
- Architected and deployed production-grade Retrieval-Augmented Generation (RAG) pipelines integrating OpenAI GPT-4, Claude, and open-source LLMs (Llama 2, Mistral) for enterprise applications
- Designed and implemented Agentic RAG systems utilizing agentic models and Modular Code Planning (MCP) protocols for autonomous task execution, dynamic tool orchestration, and multi-step reasoning workflows
- Engineered advanced multimodal RAG systems that seamlessly combine text, images, and tabular data sources, enabling sophisticated cross-modal question answering and information retrieval
- Built scalable conversational AI agents using LangChain, LlamaIndex, and FastAPI with advanced features including context compression, memory continuity, and chat-aware conversation management
- Optimized retrieval systems through domain-specific tuning, implementing advanced embedding strategies, hybrid search (dense + sparse), and reranking techniques to improve accuracy and relevance
- Developed sophisticated prompt-engineering frameworks with chain-of-thought reasoning, few-shot learning, and structured output generation for consistent and reliable AI responses
- Integrated vector databases (ChromaDB, FAISS, Pinecone) and implemented semantic search capabilities with metadata filtering for efficient knowledge retrieval at scale
- Created comprehensive evaluation frameworks using custom metrics, human feedback loops, and A/B testing to continuously improve model performance and user satisfaction
- Deployed containerized AI services using Docker and orchestrated microservices architecture for high availability and scalability
- Collaborated closely with leadership team on technical strategy, AI product roadmap development, and client engagement in fast-paced startup environment
- Documented technical specifications, API documentation, and best practices for team knowledge sharing and onboarding
Project Associate
National Institute of Technology Calicut
Kozhikode (Onsite)
- Contributed to COEAI (SAMUDRA), a prestigious Ministry of Education (GOI) research initiative focused on AI applications for smart cities and infrastructure resilience
- Spearheaded development of AI-powered inspection systems for civil infrastructure using state-of-the-art computer vision techniques including YOLO object detection models for structural defect identification
- Implemented photogrammetry pipelines for 3D reconstruction of infrastructure assets, enabling accurate digital twin creation and structural analysis
- Engineered end-to-end OCR pipelines using Tesseract and custom preprocessing techniques to digitize engineering documents, blueprints, and technical drawings, significantly improving data retrieval efficiency
- Developed a generative AI prototype leveraging fine-tuned language models to assist civil engineers in automatically generating comprehensive structural assessment reports from inspection data
- Fine-tuned transformer-based LLMs (BERT, GPT variants) on domain-specific civil engineering datasets, achieving improved accuracy for technical Q&A and document understanding tasks
- Created custom validation sets and evaluation metrics specifically tailored for civil engineering use cases, ensuring model reliability in critical infrastructure applications
- Collaborated with cross-functional team of researchers, civil engineers, and data scientists to integrate AI solutions into existing infrastructure management workflows
- Conducted extensive literature review and research on AI applications in civil engineering, contributing to academic publications and technical documentation
- Worked under the guidance of Dr. Prateek Negi; the project was recognized as a Nationally Important Initiative and became part of the AI Centre of Excellence (Sustainable Cities) at IIT Kanpur
- Presented research findings and technical solutions at internal review meetings and contributed to project deliverables for government stakeholders
Education
Diploma in Data Analytics
Edure Learning
Online
- Focus on data cleaning, visualization, business intelligence, and statistical modeling
- Real-world applications using Excel, SQL, and Python
B.Tech in Computer Science & Engineering
College of Engineering, Aranmula
Kerala, India
- Understanding of core computer science concepts: algorithms, data structures, computer architecture, operating systems, and programming languages
- Specialized in Machine Learning, Deep Learning, and Data Analytics
- Completed projects in LLM fine-tuning, RAG systems, and computer vision
Achievements
Techathon 2023
6th Place Nationally
- Led a team to secure 6th place nationally at Techathon 2023
- Developed an AI-Driven Personal Finance Tracker App, showcasing adaptability, problem-solving, and innovation in AI Gyration theme
- Mastered teamwork, project management, and advanced AI applications
- Theme: AI Gyration - focused on innovative AI solutions for personal finance
COEAI (SAMUDRA) Research Initiative
Nationally Important Initiative
- Contributed to Ministry of Education (GOI) research initiative on AI for smart cities and infrastructure resilience
- Project recognized as a Nationally Important Initiative
- Became part of the AI Centre of Excellence (Sustainable Cities) at IIT Kanpur
- Worked under Dr. Prateek Negi on AI-powered systems for smart inspection and digital twin modeling
- Developed AI-based inspection systems for civil infrastructure using computer vision and photogrammetry
IEEE SB AEC
Secretary (March 2022 - February 2024)
- Spearheaded efforts to recruit and onboard new members, fostering growth and engagement within the organization
- Orchestrated the successful execution of 15 events, demonstrating adept project management and organizational skills
- Cultivated a robust network of relationships among students, facilitating collaboration and knowledge exchange within the academic community
Blog
A Comprehensive 200-Day Roadmap to Mastering Machine Learning and Deep Learning
A structured learning path covering everything from fundamentals to advanced deep learning concepts, designed to take you from beginner to expert in 200 days...
Performing Security Testing with OWASP ZAP API and Python: My Cybersecurity College Project
Exploring how to integrate OWASP ZAP API with Python for automated security testing, including vulnerability scanning and penetration testing workflows...
Ensuring Ethical Machine Learning Practices in the Financial Technology Industry
A deep dive into ethical considerations, bias mitigation, and responsible AI implementation in fintech applications, achieving fairness and transparency...
Contact
Get In Touch
Ready to collaborate on data-driven AI solutions? Let's connect and explore how we can transform insights into intelligent systems.
Location
Thiruvalla, Kerala, India
Phone
+91-8590790018
alansabujohn@gmail.com