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.
Core Specializations
By the numbers
MSc Distinction
University of Edinburgh
BE CGPA / 10
Anna University
AI Projects
End-to-end delivery
Years Research
ML & Deep Learning
Education
MSc Artificial Intelligence
University of Edinburgh
Sep 2023 – Aug 2024
Distinction — 82%BE Electronics & Communication
Anna University
Aug 2019 – Jun 2023
CGPA 9.50 / 1002 — Experience
Where I've made
an impact.
Full-Stack Software Engineer
End-to-End Ownership · PCB & Precision Manufacturing · United Kingdom
"Owned the full delivery of a production ERP platform end-to-end — full-stack, cloud-native, and AI-integrated."
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 full Azure cloud infrastructure: VNet, Front Door CDN, Private Endpoints, and Application Insights. Engineered AI-native features — a GDPR-compliant AI-powered ATS, natural language to SQL chart recommendations, and Azure AI Foundry integrations. Built a robust payroll engine and dynamic dashboards with AI-driven insights. Implemented secure RBAC across all modules, secured with MSAL SSO, JWT, and AES-encrypted API payloads.
Tech Pillars
Frontend
Angular 19 · TypeScript · SSR · PWA
Backend
Python · Azure Functions · .NET · PostgreSQL
Cloud & DevOps
Azure · Docker · CI/CD · Front Door CDN
AI & Security
LLMOps · RBAC · MSAL · AI Foundry
Industry Collaborated Dissertation
MSc Research Partnership · Edinburgh, United Kingdom
"Reduced LLM memorization by 17% via 8-bit quantization — without sacrificing model accuracy."
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.
Tech Pillars
Research Domain
LLMs · Code Generation · Privacy AI
Techniques
Few-Shot Learning · 8-bit Quantization
Evaluation
CodeBLEU · Memorization Analysis
Stack
Python · NLP · HPC
03 — Projects
Things I've
engineered.
Eleven projects spanning NLP, Computer Vision, and Machine Learning — each solving a real problem with cutting-edge techniques.
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.
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.
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
Relevant Courses
Anna University
Bachelor of Engineering in Electronics and Communication
Relevant Courses
06 — Volunteering
Leadership beyond
the classroom.
Secretary
Electronics Engineers Association
Aug 2021 – Jul 2022 · Anna University · Chennai, India
Participants
National symposium
Coordinators
Across 14 events
Events & Workshops
Both symposiums
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
Aug 2021 – Jul 2022 · Anna University · Chennai, India
Workshops Keynoted
ML · DL · ROS · RL
Robot Engineered
Swatchtha Bot
Competition Led
DEXBOT line-follower
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 flagship project — a fully functional waste-collection robot.
DEXBOT Competition
Conducted and managed the line-follower robot 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
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
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.

