AI ENGINEERSYSTEMS BUILDERNEXT.JS EXPERT

Building intelligent systems.

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.

that's me on the right!
Albin Jojo portrait illustration
Albin Jojo

I build the systems
that power AI products.

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

Capability Map
AI & Machine Learning
Random ForestModel TrainingModel DeploymentData PreprocessingRAG Chatbotsscikit-learnOpenCV
Programming & Web Frameworks
PythonJavaScriptReactSQLFlaskREST APIsJoblib
Tools & Cloud Platforms
GitGitHubFirebaseGoogle CloudAWSRenderNumPyPandas
LAST UPDATED · 2026
active learner

AI & Engineering
Projects

Deployed
In Progress
Archived
PRJ-001
AI / ML
Deployed

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.

PythonXGBoostFlaskscikit-learnPandas
#ai/ml#healthcare#tabular-models
VIEW
PRJ-002
Systems
Deployed

2025

EcoGrow Precision Agriculture

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.

PythonESP32FlaskMQTTSocket.ioRandom Forest
#iot#precision-agriculture#ml-integration
VIEW
PRJ-003
Product
Deployed

2025

Agrowbot QA Assistant

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.

PythonFAISSOpenAI APIall-MiniLM-L6-v2SpeechRecognition
#rag#embeddings#ai-assistants
VIEW
PRJ-004
Product
Deployed

2024

Fisheries Farm AI Voice Assistant

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.

PythonRAGOpenAIText-to-SpeechSpeechRecognition
#rag#voice-ai#local-nlp
VIEW
4 projects indexed · active source code
View all on GitHub

Where I've
Shipped

June 2025 — Present

Internship · Kanjirappally, Kerala

Agrowtein Labs

AI Engineer Intern

  • Built and fine-tuned AI models for image processing and computer vision tasks using Python.
  • Worked with diverse data types including images, text, and structured datasets to develop AI-driven solutions.
  • Designed and evaluated AI systems with a focus on data preprocessing, model optimization, and performance tuning.
  • Developed Retrieval-Augmented Generation (RAG) based chatbots to enable contextual and accurate information retrieval.
  • Rapidly prototyped AI features aligned with real-world and product-oriented use cases.
2024 — Present

Community Lead · Kanjirappally, Kerala

FOSS United

FOSS United Representative

  • Organized and conducted technical events, hackathons, and open-source meetups in collaboration with student developers.
  • Promoted open-source culture, helping peers contribute to repos and learn tools like Git, Python, and Linux.

Prototypes &
Research

Explorations at the frontier of agentic systems, LLM inference pipelines, and experimental browser interactions.

EXP-001Award Winner

NASA Space Apps Solution

Developed an innovative environmental/space analytics prototype using satellite datasets. Won the Best Project Award in the global NASA Space Apps Hackathon.

#satellite-data#data-science#hackathon
EXP-0022nd Place

Astra Hackathon Prototype

Led a team to build an innovative rapid prototype under a 24-hour deadline at the Astra 2025 Hackathon, securing 2nd place overall.

#rapid-prototyping#team-lead#astra-2025
EXP-003Best Project

Mastermind Exposition Project

Designed a technically advanced and impactful machine learning project presented at a college technology exposition, earning the Best Project Award.

#expo-winner#model-pipeline#mlops

Let's build
something
intelligent.

Open to AI engineering roles, founding engineer positions, and technical consulting. If you're building AI-powered products that matter — let's talk.

© 2026 Albin Jojo · Built with Next.js, Tailwind, Framer Motionv1.4.2 · 2026.05