Uzma Mansoori

Hi, I'm Uzma Mansoori

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About Me

I am a dedicated AI Developer passionate about building intelligent, scalable solutions by harnessing cutting-edge technologies such as Large Language Models (LLMs), Generative AI, and Agentic AI. My core expertise lies in Python development, backend engineering, data science. Recently, I have deepened my expertise in Agentic AI, exploring and implementing advanced frameworks including CrewAI, Autogen, Pydantic-AI, LangGraph, and AG2, allowing me to architect autonomous systems with dynamic task orchestration and modular agent behavior. I’ve also enhanced my understanding of Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems, enabling the development of highly contextual, adaptive AI applications. To streamline and accelerate development workflows, I’ve adopted next-generation AI coding tools such as Cursor, Winsurf, Trae, Factory.ai, and Claude Desktop, significantly boosting productivity and code quality. In addition, I have acquired knowledge of MCP (Model Context Protocol) servers. My work spans the development of AI-powered platforms, optimization of machine learning models, and automation of complex workflows through intelligent integrations. I am continuously evolving my skill set to stay at the forefront of AI innovation, with a strong commitment to delivering impactful, transformative tech solutions.

Experience

Specialist, HCL Technologies

Sep 2024 - Present
  • Developed Terraform script generation using LLMs, integrated with RESTful APIs for seamless deployment.
  • Designed backend solutions with Django, combining AI and LLMs to meet diverse client needs.
  • Implemented Retrieval-Augmented Generation (RAG) using vector embeddings with ChromaDB for efficient data retrieval.
  • Created Jenkins pipelines to automate app publishing in Intune App Factory, replicating Azure DevOps functionalities.

Software Developer, Antino Labs Pvt. Ltd.

Feb 2023 - Aug 2024
  • Developed Django RESTful APIs for mobile and web applications, managing end-to-end processes from building to deployment.
  • Worked on innovative projects involving data science and Large Language Models (LLMs).
  • Collaborated on Machine Learning projects, implementing various LLMs to enhance functionality.
  • Engaged closely with clients to deliver solutions tailored to their requirements.

Machine Learning Intern, Praedico Global Research Pvt. Ltd.

May 2022 - Dec 2022
  • Assisted in developing and optimizing machine learning models, focusing on data preprocessing and analysis.
  • Collaborated with senior data scientists on innovative ML projects to improve model accuracy.
  • Implemented and tested algorithms to enhance performance of ML models.

Projects

ProseForge: AI-Powered Content Creation

Developed an advanced content creation platform using Crew AI and LLMs. Implemented agentic systems to generate high-quality, coherent content, with customizable options integrated into a Django backend.

EdMyst: Transforming Talent

Built an AI-driven recruitment platform with automated assessments and dynamic dashboards for recruiters. Leveraged AWS Lambda for scalable APIs and implemented role-based access controls.

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Stock Price Prediction

Created a predictive model using RNNs and LSTMs to forecast stock prices with 88% accuracy. Designed an interactive system that adapts predictions based on user inputs.

Zenli: Journal Application

Developed a journal app for users to record daily experiences, photos, and audio. Integrated notifications using Redis, Celery, and Cron to encourage consistent journaling habits.

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Skills

Python Machine Learning Deep Learning LLMs & Generative AI Retrieval-Augmented Generation (RAG) Agentic AI LangGraph Crew AI Autogen Pydantic-AI MCP servers Django REST APIs AWS Services Azure Services Jenkins Terraform SQL & NoSQL Data Visualization

Tools & Frameworks

Agentic AI Frameworks

LangChainFor building context-aware, reasoning-based AI agents.
Crew AIFor collaborative AI agent systems, used in ProseForge.
LangGraphFor creating complex workflows with LLMs.
AutoGenFor multi-agent conversational systems.

Generative AI Expertise

LLMsFine-tuning and deployment of models like Gemini and LLaMA.
RAGImplemented with ChromaDB for efficient data retrieval.
Text GenerationBuilt AI-driven content platforms like ProseForge.
Multimodal AIIntegrated text, image, and audio in projects like Zenli.

AI Tools

Cursor AIAI based IDE for coding.
WindsurfAI based IDE for coding.
Factory.AIAgent based AI platform for coding.
Smithery AIPlatform for the MCP servers.

Other Tools

AWSLambda, EC2, S3 for scalable deployments.
AzureMicrosoft Graph API, Intune for enterprise solutions.
Jenkins & TerraformFor CI/CD and infrastructure automation.
Redis & CeleryFor task scheduling and notifications.

Education & Certifications

Bachelor of Technology in Computer Science & Engineering

IPS College of Technology & Management | Aug 2019 - May 2023

Graduated with a 9.2 CGPA, focusing on computer science fundamentals and AI technologies.

Higher Secondary

Govt PRG Higher Secondary School | Apr 2018 - Mar 2019

Scored 87.6% in the Madhya Pradesh Board, with a strong foundation in science and mathematics.

Certifications

  • Python and Machine Learning - Udemy
  • Basics of Data Science - Binary Systems (Virtual Internship)

Achievements

National Hackathon Winner

Secured 1st position in a National Hackathon at MITS Gwalior, hosted in collaboration with Microsoft’s Research & Development Department.

Get in Touch

Feel free to reach out for collaborations, opportunities, or to discuss AI-driven projects!

Email: uzmamansoori220@gmail.com

LinkedIn: My LinkedIn Profile

Github: Check here

Phone: +91 8435714019

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