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Graduate Software Engineer

Nimijith
Nimmi Jayan

MSc Artificial Intelligence  ·  Heriot-Watt University  ·  Edinburgh

MSc AI candidate at Heriot-Watt University building full-stack software and AI-integrated systems through hands-on academic and personal projects. Combining technical depth in Python, C#, NLP and Machine Learning with strong professional discipline developed across a long operational career.

Python C# Machine Learning NLP Django Azure RAG Pipelines Available Sept 2026
NJ

Nimijith NJ

Open to opportunities

6+ Projects Built
Sept 2026 Available From

Background & Education

I am an MSc Artificial Intelligence candidate at Heriot-Watt University, Edinburgh (graduating September 2026), with a strong foundation in software engineering, machine learning, NLP, and conversational AI built through rigorous academic projects and independent development.

Before returning to study, I spent over 13 years working as a Digital Operations Lead at India Post, one of India's largest government networks. That role involved managing enterprise systems, supporting large-scale digital adoption, processing high-volume financial records, and mentoring colleagues. That experience shapes how I approach software delivery with discipline, accountability, and attention to detail.

I am particularly drawn to the intersection of AI-driven automation and practical software engineering, building systems that work reliably in real environments, not just in theory. My projects span conversational AI, full-stack Django applications, machine learning pipelines, and intelligent agent development.

Location Edinburgh, UK
MSc AI Heriot-Watt University (Sept 2024 to Sept 2026)
Right to Work Graduate Route Visa application planned Dec 2026, no Tier 2 sponsorship needed
Interests Olympic Weightlifting, Cricket, AI Research

Technical Skills

A broad foundation built through academic rigour and hands-on project delivery, covering the full stack from AI research to production-ready applications.

Programming Languages

Python C# Java SQL C

Software Engineering

OOP SDLC Agile Unit Testing REST APIs Django .NET WinForms

AI & Machine Learning

TensorFlow/Keras PyTorch Scikit-learn CNNs Reinforcement Learning SHAP LSTM

Conversational AI & NLP

RAG Pipelines ASR / TTS Azure Speech Deepgram WebRTC Firebase NLP Pipelines

Data & Databases

NumPy / Pandas MongoDB Neo4j Cassandra Redis Knowledge Graphs

Tools & Practices

Git / GitHub VS Code Jupyter Azure Linux SAP Systems Agile / SDLC

Projects

Spanning conversational AI, full-stack web development, machine learning, and intelligent agents, built through academic collaboration and independent development.

Python Django SQLite

Hospital Management System

Full-stack web application with role-based access control for administrators, doctors, and staff. Features appointment scheduling, CRUD operations, authentication, and session management. Built with modular architecture and software engineering best practices.

LSTM SHAP PDDL Python

Explainable AI Financial Risk Hedging System

Ongoing MSc dissertation combining LSTM-GARCH market risk prediction, PDDL-based AI planning, and SHAP explainability for dynamic hedging strategies in Indian financial markets. Evaluation compares strategies using Sharpe ratio, CVaR, and maximum drawdown.

C# .NET WinForms OOP

Mini Browser Application

GUI-based desktop web browser in C# implementing HTTP request handling, navigation history, bookmarks, and a fully event-driven UI. Built with object-oriented design principles and structured software architecture.

Python CNN ML

Music Genre Classification

Deep learning pipeline classifying music genres from audio features and spectrograms. Covers preprocessing, augmentation, train/validation/test split, model training, and evaluation. CNN and ML model comparison.

Java A* Search PDDL RL

AI Algorithms and Intelligent Agents

Developed intelligent software agents using A* search, PDDL-based AI planning, reinforcement learning, and policy iteration. Covers decision-making under uncertainty and optimal state evaluation strategies.

Work Experience

Over 13 years of professional experience across government operations, enterprise digital systems, and UK-based environments.

Sept 2025 to Present McDonald's, Edinburgh
Crew Member
Working in a fast-paced team environment while completing MSc studies, following quality, safety, and time-sensitive service procedures.
Nov 2024 to Sept 2025 UPS, Edinburgh
Preload Sorter and Loader
Handled approximately 1,200 parcels per shift across 25+ delivery routes, maintaining accuracy under strict dispatch deadlines.
Jun 2011 to Jul 2024 India Post, Government of India
Customer Service and Digital Operations Lead
Led digital adoption and rollout of enterprise systems across operational teams, contributing to improved transaction reliability across high-volume financial services (1,000+ customer interactions per month).
Worked extensively with SAP-supported workflow systems for inventory coordination, process management, and digital record keeping.
Processed and cross-checked savings, insurance, and financial transaction records for large customer bases, ensuring accuracy and regulatory compliance.
Mentored and trained junior colleagues on digital tools and operational procedures.
Received formal commendation for outstanding contribution to technology adoption and digital process improvement.
Mar 2026 Edinburgh
Volunteer, European Chatbot and Conversational AI Summit
Volunteered at one of Europe's leading conversational AI industry events, engaging with researchers, practitioners, and industry leaders in the AI space.

Certifications

Professional qualifications earned alongside MSc studies, demonstrating applied technical capability beyond the classroom.

Python Programming Certified User

Illinois Institute of Technology via Entri Elevate Programme

October 2025

Grade A+

Python for Data Science and ML Essential Training

LinkedIn Learning

In Progress

Ongoing

Introduction to Java

LearnQuest via Coursera

May 2024

Verify Certificate

Contact

I am actively seeking graduate software engineering or AI development roles in the UK, available from October 2026. I hold a Student Visa with Graduate Route Visa application planned for December 2026, meaning no Tier 2 sponsorship is required.

Visa status: Currently on a Student Visa. Applying for the Graduate Route Visa in December 2026, which provides 2 years of unrestricted work rights. No employer sponsorship required.