ANAND GUNTI
Leeds,UK
Summary
Software developer with strong expertise in Python and JavaScript, focusing on data analysis, machine learning, and web development. Experienced in integrating OpenAI API and applying retrieval-augmented generation techniques. Proficient in computer vision and natural language processing using deep learning frameworks like PyTorch, alongside frontend development with React, HTML, and CSS. Utilizes cloud services such as Azure and AWS, Docker for containerization, and CI/CD practices with GitHub Actions to enhance deployment efficiency and streamline workflows.
Overview
2
2
years of professional experience
1
1
Certification
Work history
AI Solutions Engineer
Mednet Health
Leeds
02.2025 - 09.2025
- Built a custom interface layer connecting large language models (LLMs) to browser-based AR environments using Three.js and Web APIs, enabling real-time, context-aware interactions
- Delivered an interactive pilot on Broken Heart Syndrome, demonstrating innovative applications of AI + AR in health tech
- Architecting the company's database infrastructure and building Power BI dashboards to provide actionable insights across finance, operations, and leadership
- Collaborating with cross-functional teams to define KPIs, streamline data pipelines, and enable data-driven decision-making
Junior AI Integrator
Mednet Health
Leeds
08.2024 - 01.2025
- Designed and deployed an AI-powered Reference Notation Tool using Flask, Python, and OpenAI API, streamlining claim verification workflows for medical writers
- Built a Retrieval-Augmented Generation (RAG) system with a dynamic frontend supporting PDF uploads, claim input, and auto-highlighted references
- Integrated with Microsoft Teams and third-party APIs to improve accessibility across internal teams
- Led full Software Development Life Cycle (SDLC) - from alpha testing through focus group validation (90-95% accuracy) to company-wide deployment
- Deployed the solution on Azure, ensuring performance and security; achieved a 60% cost reduction through pricing analysis
- Key contributor in securing partnerships with Microsoft for Startups AI and NVIDIA Connect, providing strategic infrastructure support
Data Scientist Intern
SuperFi
London
01.2024 - 12.2024
- Developed a Live dashboard in Power BI to track and summarize monthly progress reports on changes in financial user activity using the Pirate Metrics Framework
- Built an automated data collection tool using Beautiful Soup and Selenium, reducing process time by over 90%
- Recommended and implemented changes to the database, improving GDPR compliance, security, and retrieval processes
Data Scientist Intern
MyBranz
Montreal
01.2024 - 05.2024
- Developed an API using Python, deep learning techniques, and Flask to extract and structure data from Reddit
- Facilitated sentiment analysis through OpenAI models for the review aggregator project
- Developed a custom spell check model with advanced algorithms, enhancing keyword search accuracy by 75%
- Achieved API response time of under 7 seconds, improving user experience and satisfaction
Education
Master of Science - Data Science and Analytics
University of Leeds
Skills
- Python and JavaScript
- Data analysis with Pandas and NumPy
- Machine learning with Scikit-learn
- Data visualization using Matplotlib and Seaborn
- Web development with Flask and FastAPI
- OpenAI API integration
- Retrieval-augmented generation techniques
- LLM integration strategies
- Computer vision applications
- Natural language processing (NLP)
- Deep learning with PyTorch
- Frontend development with React
- HTML and CSS proficiency
- 3D design with Adobe Aero
- WebXR development
- Threejs and A-Frame expertise
- Cloud services: Azure and AWS
- Containerization with Docker
- CI/CD using GitHub Actions
- Data modeling with DAX and Power Query
- ETL pipeline creation
- Dashboarding techniques
Accomplishments
- Successfully integrated AI systems to improve operational efficiency and accuracy in healthcare applications, resulting in significant deployment cost savings.
- Developed interactive AR applications that received positive feedback from stakeholders for potential learning and marketing applications.
- Increased keyword search accuracy by 75% through custom spell check model development.
Custom
MAYA - AI Chatbot for Intelligent Customer Support, AI Lead, Led the full-cycle development of MAYA, a sophisticated AI-powered chatbot leveraging Large Language Models (LLMs) for intelligent, human-like customer interactions. Integrated real-time sentiment detection to adapt responses based on user emotion, improving engagement and satisfaction. Focused on creating a modular architecture to support scalability, knowledge base flexibility, and real-time learning. Mushroom Edibility Prediction, A project focused on predicting the edibility of mushrooms using machine learning techniques. Achieved 99.57% accuracy in predicting mushroom edibility using logistic regression, highlighting expertise in model tuning and evaluation. Conducted data preprocessing and exploratory data analysis in R, identifying key predictors like Odor and ensuring efficient handling of categorical data. Compared logistic regression, decision trees, and random forests for predicting mushroom edibility, utilizing R libraries for comprehensive model training, tuning, and evaluation.
Certification
AWS Certified Solutions Architect Amazon Web Services (AWS)
Google Data Analytics Specialization Google
Microsoft Office Specialist: Excel Associate (Office 2019) Microsoft
Timeline
AI Solutions Engineer
Mednet Health
02.2025 - 09.2025
Junior AI Integrator
Mednet Health
08.2024 - 01.2025
Data Scientist Intern
SuperFi
01.2024 - 12.2024
Data Scientist Intern
MyBranz
01.2024 - 05.2024
Master of Science - Data Science and Analytics
University of Leeds