Vaikunth
Guruswamy
AI Researcher · ML Engineer
· NLP Specialist
Building intelligent systems that understand language, see the world, and reason like humans.
01 — About
The mind behind
the machine.
“I don’t just build models — I architect systems that push the frontier of what machines can understand, perceive, and generate.”
AI-focused researcher with deep expertise in Machine Learning, Deep Learning, and Natural Language Processing. I thrive at the intersection of rigorous academic research and real-world engineering — from collaborating with Amazon on LLM copyright analysis to building autonomous vehicles and neural machine translation systems.
Education
MSc Artificial Intelligence
University of Edinburgh
BE Electronics & Communication
Anna University · 9.50 CGPA
82%
MSc Distinction
University of Edinburgh
9.5
BE CGPA / 10
Anna University
6+
AI Projects
End-to-end delivery
3+
Years Research
ML & Deep Learning
02 — Experience
Where I've made
an impact.
ZOT
↗zot.co.uk · PCB & Precision Manufacturing, United Kingdom
Full-Stack Software Engineer · End-to-End Ownership
Responsible for designing, building, and deploying a production-grade platform — a public customer website with Angular 19 SSR & PWA and a comprehensive internal ERP — backed by a Python serverless backend on Azure Functions. Provisioned the full Azure cloud infrastructure: VNet, Front Door CDN, Private Endpoints, and Application Insights. Engineered AI-native features across the platform — a GDPR-compliant AI-powered ATS, natural language to SQL chart recommendations, and Azure AI Foundry integrations for predictions and intelligent monitoring. Built a robust payroll engine and dynamic dashboards with AI-driven insights, end-to-end data pipelines covering extraction, cleaning, preprocessing and automated visualization ideation. Implemented secure RBAC across all modules, secured with MSAL SSO, JWT, and AES-encrypted API payloads.
Key achievement
“Owned the full delivery of a production ERP platform end-to-end — full-stack, cloud-native, and AI-integrated.”
Amazon
↗Edinburgh, United Kingdom
Industry Collaborated Dissertation · MSc Research Partnership
Developed novel methods to analyze copyright issues in various code-based Large Language Models. Extended the CodeBLEU metric and applied Few-Shot Learning with 8-bit quantization techniques, achieving a 17% reduction in memorization while maintaining model accuracy — contributing to enhanced privacy and robustness in AI code generation.
Key achievement
“Reduced LLM memorization by 17% via 8-bit quantization without sacrificing accuracy.”
03 — Projects
Things I've
engineered.
Eleven projects spanning NLP, Computer Vision, and Machine Learning — each solving a real problem with cutting-edge techniques.
Attention-based Neural Machine Translation
Developed a LSTM-based lexical mechanism and Transformer-based multi-head attention for German-English NMT. Evaluated performance using BLEU score, perplexity, and training loss.
Level 4 Autonomous Vehicle Prototype
Designed and implemented an optimized neural network for traffic sign and lane detection, reinforcement learning for vehicle navigation, and a web-based visualization interface. Achieved 1ms response time for obstacle detection.
RNN & GRU Language Modelling
Investigated GRU effectiveness vs RNNs for subject-verb agreement tasks. Demonstrated GRU superiority in capturing long-range dependencies through comparative analysis with hyperparameter tuning.
Vehicle Damage Assessment Portal
Python-Flask damage assessment portal integrating CNN models and IBM Cloud to estimate insurance costs. Collaborated with IBM, led with Agile methodologies.
Spotify Hit Song Predictor
Built and evaluated ML models to predict hit songs by analyzing Spotify data using custom algorithms to assist music producers in decision-making.
Smart Glass Assistant
Multi-functional wearable assistant with real-time object detection, map navigation, music player, chatbot, and text translation using node MCU. Led as Team Lead.
Earlier Work
Chess Engine
Developed an optimized chess engine using Reinforcement Learning with a custom Agent and Deep Q-Network Architecture (DQNA), paired with an interactive GUI built in PyQt5.
Autonomous Navigation Transporter
Built a maze-solving bot that processes maze images, autonomously traverses through the maze, and reaches the destination. Hardware implementation using ESP32 Camera module and NodeMCU.
Chat-Bot
Designed a sentiment-aware chatbot deployed on WhatsApp, Telegram, and web pages using NLP and LSTM. Also built a voice-controlled CLI music player application.
Face Detection & Recognition
Face detection and recognition system using Haarcascade Frontal Face Algorithm, with OTP email verification for face registration/removal and automated attendance tracking.
Rangeless Bot
Built a DTMF-controlled Arduino bot deployable in hostile environments, controllable from any location regardless of the user's physical position.
04 — Skills
The tools I
command.
Python · PyTorch · TensorFlow · OpenCV · scikit-learn
LLMs · NLP · Computer Vision · RAG · Agentic AI
Docker · Azure · AWS · HPC · MySQL
05 — Education
Foundations of
excellence.
The University of Edinburgh
Master of Science in Artificial Intelligence
Edinburgh, United Kingdom
Relevant Courses
Anna University
Bachelor of Engineering in Electronics and Communication
Chennai, India
Relevant Courses
06 — Volunteering
Giving back to
the community.
Leadership and community roles beyond the classroom — organizing events, mentoring peers, and driving technical initiatives.
Secretary
Electronics Engineers Association
Anna University · Chennai, India
Electrofocus 2022
Ideated and organized a national-level Technical Symposium with 132 event coordinators across 14 events and 6 workshops — drawing 1,400+ participants.
Apocalypse 2021
Organized an intra-college Technical Symposium with 40+ coordinators and volunteers across 21 events and 3 workshops — 400+ participants.
Finance & Audit
Managed financial records for the association and assisted in the end-of-year audit process.
Technical Team Lead
MIT Robotics Association
Anna University · Chennai, India
Keynote Speaker
Delivered keynotes for the Machine Learning & Deep Learning workshop, tri-weekly Robotic Operating System (ROS) sessions, and a Reinforcement Learning workshop.
Swatchtha Bot
Led the technical team for the association's annual project — a waste-collection robot.
DEXBOT Competition
Conducted and managed the line-follower competition. Active contributor across logistics and technical operations.
07 — Recommendations
Words from those
who know my work.
Having worked with Vaikunth for over 6 months , originally as our intern, but now as a full time employee, he has quickly proved himself as a dedicated and very talented software engineer. From day one he has demonstrated his eagerness to learn, strong problem solving skills, and ability to learn and adapt to new challenges. A fantastic "can do" attitude, working quickly and efficiently to solve problems and handle task given to him, showing creativity and initiative to find solutions. He has quickly established himself as a key and valuable member of the Zot team.
Gordon Falconer
Director · Zot Engineering Ltd
Gordon managed Vaikunth directly
I was one of Vaikunth's advisors for his MSc research project on LLM memorisation for code. From day one Vaikunth showed an incredible amount of passion and initiative, and, in Amazon terms, bias for action. He immersed himself into the relevant literature, and even in our first project meeting had done some preliminary experimentation. He continued at the same pace throughout the project, combining his hard work with innovative ideas that challenged existing approaches in the literature. I can easily recommend Vaikunth for any position that requires both deep exploration and technical execution.
Christos Christodoulopoulos
Principal Technology Adviser · ICO
Christos was Vaikunth's mentor
08 — Contact
Let's build
something extraordinary.
Whether it's a research collaboration, a full-time role, or an ambitious AI project — I'm always open to a conversation.