Vaikunth

Guruswamy

AI Researcher  ·  ML Engineer
NLP Specialist

Building intelligent systems that understand language, see the world, and reason like humans.

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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

Machine Learning
Natural Language Processing
Computer Vision
Large Language Models
Transformers
Generative AI

By the numbers

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

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 / 10

02 — Experience

Where I've made
an impact.

Full-Stack Software Engineer

End-to-End Ownership · PCB & Precision Manufacturing · United Kingdom

Feb 2025 – PresentCurrent
"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

Mar 2024 – Aug 2024
"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.

Computer Vision

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.

PythonOpenCVHaarcascadeDeep Learning+1
Machine Learning

Rangeless Bot

Built a DTMF-controlled Arduino bot deployable in hostile environments, controllable from any location regardless of the user's physical position.

DTMFArduinoPythonEmbedded Systems+1
NLP

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.

LSTMTransformerMulti-head AttentionNumPy+1
Computer Vision

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.

Spatial CNNYOLO v3DarkNet-53DQN+2
NLP

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.

RNNGRUPyTorchHyperparameter Tuning+1

04 — Skills

The tools I
command.

PythonPyTorchTensorFlowKerasNumPyPandasScikit-learnOpenCVNLTKspaCyXGBoostC++JavaScriptSQLMongoDBFlaskPythonPyTorchTensorFlowKerasNumPyPandasScikit-learnOpenCVNLTKspaCyXGBoostC++JavaScriptSQLMongoDBFlask
Machine LearningDeep LearningComputer VisionNLPLarge Language ModelsTransformersGenerative AIMLOpsLLMOpsAgentic AIRAGCUDAMachine LearningDeep LearningComputer VisionNLPLarge Language ModelsTransformersGenerative AIMLOpsLLMOpsAgentic AIRAGCUDA
DockerAzureAWSMySQLHPCGitNext.jsReactNode MCUIBM CloudLinuxAgileDockerAzureAWSMySQLHPCGitNext.jsReactNode MCUIBM CloudLinuxAgile
16Languages & Frameworks

Python · PyTorch · TensorFlow · OpenCV · scikit-learn

11AI Specializations

LLMs · NLP · Computer Vision · RAG · Agentic AI

5Cloud & DevOps

Docker · Azure · AWS · HPC · MySQL

05 — Education

Foundations of
excellence.

The University of Edinburgh

Master of Science in Artificial Intelligence

Sep 2023 – Aug 2024·Edinburgh, United Kingdom82% — Distinction in Thesis

Relevant Courses

01NLP (Transformers & LLMs)
02Data Visualization
03Cloud Programming (Docker, Azure)
04Machine Learning
05Image & Computer Vision
06AI Ethics

Anna University

Bachelor of Engineering in Electronics and Communication

Aug 2019 – Jun 2023·Chennai, IndiaCGPA: 9.50 / 10.0

Relevant Courses

01Software Engineering (Agile)
02AI and ML
03Data Structures & Algorithms
04Object-oriented Design
05Data Science

06 — Volunteering

Leadership beyond
the classroom.

01

Secretary

Electronics Engineers Association

Aug 2021 – Jul 2022  ·  Anna University · Chennai, India

1,400+

Participants

National symposium

132

Coordinators

Across 14 events

24+

Events & Workshops

Both symposiums

01

Electrofocus 2022

Ideated and organized a national-level Technical Symposium with 132 event coordinators across 14 events and 6 workshops — drawing 1,400+ participants.

02

Apocalypse 2021

Organized an intra-college Technical Symposium with 40+ coordinators and volunteers across 21 events and 3 workshops — 400+ participants.

03

Finance & Audit

Managed financial records for the association and assisted in the end-of-year audit process.

02

Technical Team Lead

MIT Robotics Association

Aug 2021 – Jul 2022  ·  Anna University · Chennai, India

4

Workshops Keynoted

ML · DL · ROS · RL

1

Robot Engineered

Swatchtha Bot

1

Competition Led

DEXBOT line-follower

01

Keynote Speaker

Delivered keynotes for the Machine Learning & Deep Learning workshop, tri-weekly Robotic Operating System (ROS) sessions, and a Reinforcement Learning workshop.

02

Swatchtha Bot

Led the technical team for the association's annual flagship project — a fully functional waste-collection robot.

03

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.

Gordon managed Vaikunth directlySeptember 5, 2025

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

Christos was Vaikunth's mentorAugust 20, 2024

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.