Hi, I'm Ujjwal Khadka
AI Product Engineer
As an AI Product Engineer, I specialize in integrating advanced Natural Language Processing (NLP) into user-centric applications, enhancing functionality and user experience. With a strong foundation in LLM, GenAI and Agentic AI, I am committed to developing innovative AI solutions that address real-world challenges.

About Me
Professional Overview
As an AI/ML Engineer with expertise in AI, data, and cloud computing, I specialize in designing and implementing innovative AI solutions that leverage large language models (LLMs) to address complex business challenges. My expertise encompasses machine learning, natural language processing, and computer vision.
Full Stack Development
Microservices Architecture
Code Quality & Best Practices
Key Highlights
- Expertise in LangChain.py, Vector Database, Agentic AI
- Experience with AWS and Cloud infrastructure
- Agile development methodologies practitioner
- Cross-Disciplinary Expertise
Experience
AI Engineer
Novelty Technology
Aug 2024 - Present
- Model Development: NLP models tailored for analyzing data related to Healthcare providers
- Performance Optimization: Emphasized improving the accuracy and performance of these models
- Efficient Data Handling: Implemented robust data processing pipelines for healthcare information
AI and Data Engineer
Fusemachines
Sep 2023 - Feb 2024
- Leading a team of data scientists and providing technical guidance and mentorship.
- Developing and implementing advanced machine learning algorithms and models using Python and LangChain.
- Optimizing data pipelines and infrastructure to ensure efficient data processing and analysis.
NLP Researcher
John Snow Labs
Jan 2023 - Present
- Developed and optimized NLP models for Healthcare provider data analysis with enhanced accuracy
- Implemented performance optimization techniques to improve model accuracy and efficiency
- Utilized PySpark for efficient Big Data processing and management in healthcare analytics
Skills
NLP Development
LangChain.py
95%
AgenticRAG
90%
LangSmith
85%
Backend Development
Python
90%
FastAPI
85%
Pinecone
80%
DevOps & Tools
AWS
75%
Docker
80%
Git
90%
Other Skills
GraphQL
REST APIs
Vector Database
Unit Testing
CI/CD
Agile
Microservices
Projects
E-commerce Platform
Task Management System
Analytics Dashboard
Education
Bachelor of Engineering in Biomedical & AI Engineering
Key Achievements
- Major in Deep Learning Engineering with focus on Software Development
- Completed various software projects as part of curriculum
- Participated in coding competitions and hackathons
Relevant Coursework
Data Structures
Algorithms
Database Management
Software Engineering
Neural Networks
Additional Certifications
LLM Observability: Agents, Tools & Chains
2024
Full Stack AI Development
2023