Gulshan Kumar
Open to work1 years experiencePython AI Developer
Python AI Developer specializing in Generative AI, RAG, and Autonomous Agents.
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Skills & Technologies
26 skillsWork Experience
Python AI Developer
Swordfield Technologies Private limited
- Developed a RAG based chatbot with Langchain and Open AI API with agentic capabilities for the platform.
- Integrated features such as database querying, app information search, keyword analysis, app tracking management, and automated task execution.
- Implemented API integrations and built modules for summary and performance report generation.
Software Engineer Contributor
mailphix.com
- Developed a cold email outreach tool to streamline email campaigns.
- Implemented features such as email templates, scheduling, and tracking for efficiency.
Projects
Agentic RAG
- Built an Agentic RAG system that combines retrieval- augmented generation with autonomous agent capabilities, enabling dynamic multi step reasoning and context aware responses over custom knowledge bases.
RAG based Chatbot - Medicare
- Created an AI chatbot utilizing Retrieval Augmented Generation (RAG) and Gemini API to manage inquiries effectively.
- Improved user experience by delivering intuitive, automated responses and real time support.
AI Research Agent
- A specialized AI research application with two specialized agents: IT Research Agent and Pharmaceutical Research Agent.
- Built with Django, LangChain, LangGraph, and LangSmith that use the RAG and web search to find the information for the report generation.
Autonomous Finance Agent
- An AI agent that goes beyond reporting financial data - it interprets and reasons through it.
- Built with GPT-4o and a LangGraph ReAct loop, it integrates 11 financial tools, a causal chain engine, LLM-as-a-Judge self-evaluation, and real- time SSE streaming with Langfuse observability.
AI Powered Calorie Burn Prediction and Management Tool
- Developed a Flask web application with XGBoost for predicting exercise calorie burn from a Kaggle dataset.
- Integrated a Bootstrap-based UI, containerized the application using Docker.
Synthetic Data Generation using NLP
- Data Preprocessing: Cleaned and enhanced a dataset of 16,669 product reviews using standard scaling, text lemmatization, and word count analysis.
- Model Development: Created a custom deep learning model with attention mechanisms and Bidirectional LSTM layers to generate coherent product reviews.
- Review Generation: Implemented the model to generate high-quality product reviews.
Fine tuned T5 Model for Text Summarization
- Implemented and trained a T5 small model on the CNN/DailyMail dataset for text summarization tasks, utilizing the Hugging Face Transformers and PyTorch.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Technical Writer at GeeksforGeeks
Authored 23+ technical articles on computer science for GeeksforGeeks.
Subject Matter Expert at Chegg India
Solved 400+ questions in probability and statistics for Chegg India.
About Details
Professional Bio
Python AI Developer with expertise in Generative AI, RAG systems, and autonomous agents. Experienced in building AI-powered applications using LangChain, LangGraph, and LLMs. Passionate about machine learning, NLP, and software engineering.
Bachelor of Engineering in Computer Science in Computer Science
University of Jammu ( - 2026)