- Travelling
- Reading
- Cooking
- Writing
- Research in AI/ML
- Music Information Retrieval
Harishkumar Kishorkumar Prajapati
London,ENG
Summary
Experienced Lead Software Engineer and Team Lead with 2.5+ years of expertise in AI/ML systems, specializing in RAG-based conversational AI, LLM fine-tuning, and production ML pipelines. Currently pursuing MSc in Artificial Intelligence with strong background in deep learning, NLP, and building scalable AI applications. Proven track record of leading engineering teams, developing enterprise-grade AI solutions, and conducting research in audio multimodality and retrieval-augmented generation systems.
Overview
4
4
years of professional experience
1
1
Certification
1
1
year of post-secondary education
Work History
Lead Software Engineer / Team Lead
Tricon Infotech Pvt. Ltd.
09.2022 - 09.2025
- As a Lead Software Engineer and Team Lead, I spearheaded the development of several critical AI/ML projects while leading and mentoring the engineering team. Responsibilities included technical leadership, project architecture, team coordination, and delivering advanced conversational AI systems.
- Team Leadership & Mentorship: Led and mentored engineering team in developing AI/ML solutions, coordinating project workflows, conducting code reviews, and ensuring best practices in software development. Facilitated knowledge sharing sessions and technical training for team members.
- Conversational AI with RAG: Designed and deployed production-grade chatbot integrating generative AI with productivity tools using retrieval-augmented generation (RAG). Architected the system with LangChain, MongoDB (vector database), and Express.js for real-time retrieval and generation, significantly enhancing workplace AI adoption.
- Enterprise Data Aggregation Platform: Built scalable data aggregation system using MongoDB and MongoDB Atlas, handling large-scale data processing and instant filtering. Improved data accessibility and analytical capabilities for enterprise applications.
- LLM Integration & Optimization: Implemented end-to-end pipelines combining Large Language Models with external knowledge bases, handling context management, prompt engineering, and response optimization for production environments.
- Scalable ML Architecture: Designed data processing pipelines and API systems serving ML models in production, ensuring reliability, performance, and scalability across diverse applications.
- AI-Powered Enterprise Chat Application: Developed enterprise-level chat application integrating generative AI to offer a comprehensive suite of conversational AI capabilities, utilizing technologies like Node.js, MongoDB, Express.js, and advanced AI algorithms.
- Technologies: Python, Node.js, MongoDB, LangChain, RAG Systems, Vector Databases, Express.js, Docker, Cloud Computing, Generative AI
Research Intern
Advanced Manufacturing Technology Centre, IIT Madras
04.2022 - 07.2022
- During the internship at IIT Madras, I worked on developing AI-powered software for the classification and identification of heavy vehicles using advanced image processing techniques (AI & ML).
- Developed machine learning models for vehicle classification achieving high accuracy.
- Implemented computer vision algorithms for real-time vehicle identification.
- Collaborated with research team on image processing pipeline optimization.
- Technologies: Python, OpenCV, TensorFlow, scikit-learn, Image Processing, Machine Learning
Campus Leader
TechLearn.live
02.2022 - 03.2022
- Successfully led campus-wide initiatives and managed student teams to promote technical learning and skill development, demonstrating exceptional leadership and team management skills.
Backend Developer
LogicWind Technologies LLP
12.2021 - 06.2022
- Worked as a Backend Developer with technologies like Node.js, Express.js, GraphQL, PostgreSQL, MongoDB, Prisma, Sequelize, and Strapi. During this journey, I handled the backend of projects.
- Built RESTful and GraphQL APIs for web applications.
- Designed database schemas and optimized query performance.
- Implemented authentication and authorization systems.
- Deployed applications on cloud platforms.
- Technologies: Node.js, Express.js, GraphQL, PostgreSQL, MongoDB, Prisma, Sequelize, Strapi
Education
Master of Science - Articial Intelligence
Queen Mary University Of London
09.2025 - Current
B.Tech - Computer Engineering
Chhotubhai Gopalbhai Patel Institute of Technology
01.2022
Higher Secondary Certicate (HSC) - undefined
C. S. Vidya Bharti English School
01.2018
Secondary School Certicate (SSC) - undefined
Vidya Bharti Hindi Vidyalaya
01.2016
Skills
- Python
- JavaScript
- C
- C
- Java
- HTML
- CSS
- Nodejs
- Expressjs
- MongoDB
- PostgreSQL
- MySQL
- PyTorch
- Scikit-learn
- LangChain
- Hugging Face Transformers
- LoRA/PEFT
- Fine-tuning LLMs
- RAG Systems
- NLP
- Computer Vision
- Transformer models
- BERT
- GPT
- T5
- Qwen
- Transfer learning
- Prompt engineering
- Text summarization
- Conversational AI
- Semantic search
- MongoDB Atlas
- FAISS
- LoRA adapters
- Quantization
- Efficient inference
- GRPO
- Supervised fine-tuning
- ROUGE metrics
- BERTScore
- Custom evaluation frameworks
- Google Cloud Platform
- Azure
- Docker
- Git
- GitHub
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Data preprocessing
- Feature engineering
- Visualization
- DSPy
- Multi-agent systems
- Agentic workflows
Certification
- Introduction to Prompt Engineering for Generative AI, LinkedIn Learning
- Python Basics for Data Science, IBM
- Introduction to Data Science, IBM
- Microsoft Azure Fundamentals (AZ-900), Microsoft
- Google Cloud Computing Foundation, Google Cloud Skills Boost
- C Course, SOLOLEARN
- C++ Tutorial Course, SOLOLEARN
- Java Programming: Solving Problems with Software, COURSERA
- Introduction to the Internet of Things and Embedded Systems, COURSERA
- SQL Fundamentals Course, SOLOLEARN
- Introduction to Python, DataCamp
- MongoDB, MongoDB
Interests
Leadership Experience
- Group Leader, Web Development Project
- Group Leader, Smart Dustbin Project
- Campus Leader, TechLearn.live
Research Interests
- Audio Multimodality & Music Information Retrieval
- Retrieval-Augmented Generation (RAG) Systems
- Large Language Model Fine-Tuning & Optimization
- Multimodal Learning (Audio, Text, Vision)
- Neural Audio Fingerprinting
- Graph Neural Networks for Information Retrieval
- Conversational AI & Interactive Systems
Personal Information
Title: Lead Software Engineer | AI/ML Specialist | Team Lead
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse
Timeline
Master of Science - Articial Intelligence
Queen Mary University Of London
09.2025 - Current
Lead Software Engineer / Team Lead
Tricon Infotech Pvt. Ltd.
09.2022 - 09.2025
Research Intern
Advanced Manufacturing Technology Centre, IIT Madras
04.2022 - 07.2022
Campus Leader
TechLearn.live
02.2022 - 03.2022
Backend Developer
LogicWind Technologies LLP
12.2021 - 06.2022
B.Tech - Computer Engineering
Chhotubhai Gopalbhai Patel Institute of Technology
Higher Secondary Certicate (HSC) - undefined
C. S. Vidya Bharti English School
Secondary School Certicate (SSC) - undefined
Vidya Bharti Hindi Vidyalaya