2025
Symptom-Based Disease Intelligence
Advanced symptom-to-diagnosis classification system. Uses pre-trained XGBoost classification models to predict disease conditions from free-text descriptions and route patients to medical specialists.
Hey! I'm Albin Jojo, an AI engineer and systems builder. I craft robust backend architectures and intelligence pipelines, married with delightful, tactile user interfaces.

I'm an AI engineer with a strong systems background and a designer's eye for detail. I've shipped LLM-powered products, built inference infrastructure at scale, and led engineering efforts from early prototype to production.
My work spans the full stack: from training-loop tooling and embedding pipelines to the React interfaces that make those capabilities accessible to real users. I care deeply about the boundary where model intelligence meets human experience.
Currently interested in: agentic systems, on-device inference, real-time AI interfaces, and pushing the quality ceiling on human-centered AI products.
3+
Years coding
4+
Various AI Projects
3+
Hackathon Awards
2025
Advanced symptom-to-diagnosis classification system. Uses pre-trained XGBoost classification models to predict disease conditions from free-text descriptions and route patients to medical specialists.
2025
Greenhouse environmental monitoring platform. Utilizes an ESP32 hardware layer to collect telemetry (Temp, Humidity, CO2) and processes it via a Random Forest model on Flask for real-time risk predictions.
2025
Lightweight Retrieval-Augmented Generation (RAG) tool for crop pest guidance. Ingests pest-control PDF manuals, indexes embeddings with all-MiniLM-L6-v2 and FAISS, and provides OpenAI QA with voice support.
2024
Domain-specific RAG voice agent built for fisheries farms. Implements hands-free voice input/output support to allow farm workers to query operational guidelines and get formatted responses.
Internship · Kanjirappally, Kerala
Community Lead · Kanjirappally, Kerala
Explorations at the frontier of agentic systems, LLM inference pipelines, and experimental browser interactions.
Developed an innovative environmental/space analytics prototype using satellite datasets. Won the Best Project Award in the global NASA Space Apps Hackathon.
Led a team to build an innovative rapid prototype under a 24-hour deadline at the Astra 2025 Hackathon, securing 2nd place overall.
Designed a technically advanced and impactful machine learning project presented at a college technology exposition, earning the Best Project Award.
Open to AI engineering roles, founding engineer positions, and technical consulting. If you're building AI-powered products that matter — let's talk.
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