Financial Market Prediction: Time Series Forecasting
Advanced time series forecasting system using ARIMA, SARIMA, and GARCH models to predict financial market trends from historical data.
- Python
- Time Series
- Statistical Modeling
- Finance
Sijo Thomas
AI / ML Engineer
Building intelligent systems with GenAI, RAG, and cloud-native ML pipelines.
About Me
With over five years building AI-driven solutions across enterprise and startup environments, I specialise in turning complex ML models into production-ready systems that deliver measurable business impact.
My journey started at Infosys, where I spent four years developing AI/ML tools — from fraud detection engines to intelligent ticket triaging systems — serving clients across financial services and IT operations. At Wipro, I worked on Dell's price optimisation platform, applying machine learning to real-time pricing strategies. I then moved to Mentrose as a Full Stack ML Engineer, building e-commerce applications with integrated ML capabilities.
Currently at Croner-i, I architect GenAI and RAG systems on AWS, transforming how compliance teams interact with complex regulatory data. My MSc in Data Science from Manchester Metropolitan University grounds my practical work in rigorous research methodology.
I'm passionate about the intersection of AI and real-world problem solving — building systems that don't just work in notebooks, but ship to production and make a difference.
Featured Projects
A selection of projects showcasing my AI/ML expertise.
Handwritten Text Recognition: Deep Learning
Deep learning OCR system using ResNet, AlexNet, and VGG architectures to recognise and digitise handwritten text from images.
- Deep Learning
- Computer Vision
- CNN
- Python
Automobile Price Prediction: Machine Learning
ML ensemble system using stacking regression with Ridge, RandomForest, and GradientBoosting to predict used vehicle prices accurately.
- Machine Learning
- Regression
- Python
- Ensemble Methods
Technical Skills
Technologies and tools I use to build production ML systems.
Languages & Frameworks
- Python
- Flask
- C#
- .NET
- JavaScript
- TypeScript
- Node.js
Databases
- MySQL
- PostgreSQL
- SQL Server
- MongoDB
Data Analysis & Visualisation
- Pandas
- NumPy
- Matplotlib
- Seaborn
- MS Excel
ML & Deep Learning
- TensorFlow
- PyTorch
- Scikit-Learn
- LangChain
- Hugging Face
Cloud Services
- AWS (SageMaker, Lambda, S3, Bedrock)
- Azure
Development Tools
- Git
- Docker
- VS Code
- Jupyter Notebook
- Linux
Professional Experience
-
Croner-i
- Role
- Machine Learning Engineer | AWS
- Dates
- Jul 2025 — Present
- Architecting GenAI and RAG systems on AWS, enabling intelligent document processing and semantic search across large regulatory datasets
- Building production LLM pipelines using LangChain, vector databases, and AWS services (Bedrock, Lambda, S3) for compliance teams
- Designing retrieval-augmented generation workflows that transform how users interact with complex regulatory information
-
Mentrose
- Role
- Full Stack ML Engineer | Web App Developer
- Dates
- Apr 2024 — Mar 2025
- Developed end-to-end e-commerce web applications integrating ML-powered features including recommendation engines and predictive analytics
- Built full-stack solutions combining Python/Flask backends with modern frontend frameworks, deployed to cloud infrastructure
- Implemented data pipelines for real-time product analytics and customer behaviour modelling
-
Wipro Ltd
- Role
- Backend Engineer | Python, ML — Dell Account
- Dates
- Jan 2022 — Jul 2022
- Contributed to Dell's price optimisation platform, applying machine learning models to dynamic pricing strategies across product lines
- Built Python-based backend services for data ingestion, model inference, and pricing API endpoints
- Collaborated with cross-functional teams to translate business pricing rules into ML model features
-
Infosys Ltd
- Role
- Full Stack AI/ML Developer — AI/ML Solutions Team
- Dates
- Oct 2017 — Dec 2021
- Fraud Detection Tool: developed ML-based anomaly detection system for identifying fraudulent transactions in financial services, processing high-volume transaction data in near real-time
- Microservices Automation Tool: built automation pipelines for microservice deployment and monitoring, reducing manual operational overhead
- AI/ML Ticket Triaging Tool: created an intelligent ticket classification system that automatically categorised and routed support tickets across 50+ service categories
- Data Masking Tool: implemented automated data anonymisation solution for PII protection across multiple client datasets
Education
MSc, Data Science
Manchester Metropolitan University
December 2023
Research focus on machine learning and statistical modelling
Bachelor of Computer Application (BCA)
Mahatma Gandhi University
March 2017
Let's Work Together
I'm open to ML engineering roles, consulting opportunities, and technical collaboration. Let's build something intelligent.