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Generative AI Engineer with 2+ years in Machine Learning & Data Science
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Assessing your cultural and operational fit
Highly motivated and results-oriented Software Developer and Data Scientist Trainee with 2.8 years of experience in AI, Machine Learning, and Data Analytics. Proficient in Python, FastAPI, Django, and LangChain, with a strong background in building and deploying AI chatbots, RAG pipelines, and multi-agent systems. Adept at leveraging deep learning frameworks and data processing tools to enhance operational efficiency and deliver impactful solutions in diverse technical environments.
I.K. Gujral Punjab Technical University
B.Tech · Electronics and Communication
July 1, 2021 – June 1, 2025
Navyug Senior Secondary School
Senior Secondary Education
April 1, 2020 – April 1, 2021
Freelancer
Software Devloper
December 1, 2025 – Present
India
Green Rider Technology LLP
Data Science Trainee
December 1, 2024 – June 1, 2025
Gurgaon, Haryana, India
NIELIT
Data Science Intern
July 1, 2023 – August 1, 2023
Patna, Bihar, India
Mini Knowledge Graph
June 27, 2026 – Present
Converted unstructured documents into interactive force-directed knowledge graphs using a full-stack AI pipeline Built async LLM pipeline with LangChain & Groq integrated with FastAPI for non-blocking entity and relationship extraction Persisted graph nodes and relationships in PostgreSQL enabling scalable querying and visualization
View ProjectChat App
June 27, 2026 – Present
Building a context-aware AI backend with FastAPI, MCP, LangGraph & Groq for automated response generation and conversation state management. Developing an admin dashboard for monitoring real-time user activity and analytics. Implemented real-time messaging using WebSockets and SQLAlchemy for live communication and connection tracking.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and internships, shows initiative and a proactive learning attitude. Their focus on Generative AI and related technologies aligns well with a Generative AI Engineer role. The breadth of skills, from core programming to AI/ML and DevOps basics, suggests adaptability and a willingness to explore different technical areas.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in automating complex workflows and designing evaluation frameworks. Their experience with real-time systems and performance testing suggests an operational mindset. The project descriptions indicate an ability to work independently and deliver functional solutions.