09/06/2026 updated
ST
100 % available
Software Engineer | Generative AI & Python Developer | Power BI & LLM Specialist
USA
Only remote
Bachelor of Technology in Computer ScienceAbout me
Hi, I’m Swapna Tumma. I’m a Software Developer with around three years of experience at LTIMindtree, where I’ve been working primarily in Generative AI and full-stack development.My main areas of expertise include Python, Large Language Models, RAG, AI agents, vector databases, and Power BI.
Python (Programming Language)
Generative AI & Large Language Models (LLMs)
Expertise in developing and deploying end-to-end Generative AI solutions using OpenAI, Google Gemini, Claude, Cohere, and Llama2. Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, and AI Agents using frameworks such as LangChain, LlamaIndex, and CrewAI.
Python Development & Backend Frameworks
Proficiency in Python as the primary programming language, with experience building backend applications using Django, FastAPI, Flask, and Streamlit. Proven ability to design scalable, intelligent solutions for complex business problems.
Power BI & Data Analytics
Strong skills in creating Power BI dashboards for real-time HR and business insights, including data cleaning and transformation with Power Query, DAX measures for KPIs, and integration of Power BI with SQL databases to automate data refresh and reduce manual reporting effort.
Vector Databases
Experience working with vector databases including FAISS, Chroma DB, and Pinecone for scalable and context-aware AI applications and efficient document retrieval.
Database Management
Knowledge of relational database systems including MySQL, PostgreSQL, and Azure SQL, with experience implementing Natural Language-to-SQL pipelines using GPT-4.
AI/ML Techniques
Application of AI and ML techniques such as fine-tuning with custom data, vector embeddings, NLP, and neural network optimization to build intelligent systems.
Azure AI Services
Utilization of Azure OpenAI services including GPT-4 and ADA embedding models for building intelligent document processing and question-answering systems.
Frameworks & Tools
Hands-on experience with a wide range of frameworks and tools including TensorFlow, PyTorch, LangChain, LlamaIndex, CrewAI, Django, FastAPI, Flask, and Streamlit.
Expertise in developing and deploying end-to-end Generative AI solutions using OpenAI, Google Gemini, Claude, Cohere, and Llama2. Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, and AI Agents using frameworks such as LangChain, LlamaIndex, and CrewAI.
Python Development & Backend Frameworks
Proficiency in Python as the primary programming language, with experience building backend applications using Django, FastAPI, Flask, and Streamlit. Proven ability to design scalable, intelligent solutions for complex business problems.
Power BI & Data Analytics
Strong skills in creating Power BI dashboards for real-time HR and business insights, including data cleaning and transformation with Power Query, DAX measures for KPIs, and integration of Power BI with SQL databases to automate data refresh and reduce manual reporting effort.
Vector Databases
Experience working with vector databases including FAISS, Chroma DB, and Pinecone for scalable and context-aware AI applications and efficient document retrieval.
Database Management
Knowledge of relational database systems including MySQL, PostgreSQL, and Azure SQL, with experience implementing Natural Language-to-SQL pipelines using GPT-4.
AI/ML Techniques
Application of AI and ML techniques such as fine-tuning with custom data, vector embeddings, NLP, and neural network optimization to build intelligent systems.
Azure AI Services
Utilization of Azure OpenAI services including GPT-4 and ADA embedding models for building intelligent document processing and question-answering systems.
Frameworks & Tools
Hands-on experience with a wide range of frameworks and tools including TensorFlow, PyTorch, LangChain, LlamaIndex, CrewAI, Django, FastAPI, Flask, and Streamlit.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Built an Intelligent Document Processing (IDP) system allowing users to upload PDF files and ask questions in natural language. Employed RAG to combine external document knowledge with LLM capabilities. Used OpenAIs ADA embedding model for semantic similarity search and implemented FAISS vector store for fast retrieval. Structured a pipeline for document QA using chunking, embedding, indexing, and query processing with GPT-4 via RAG.
Developed and deployed end-to-end Gen AI solutions using OpenAI, LangChain, and LlamaIndex to build intelligent chatbots and knowledge retrieval systems. Built custom RAG pipelines for the SOW QA chatbot, improving response accuracy by 40%. Implemented a question-answering system using GPT-4 and PostgreSQL. Engineered prompt templates, RAG systems, and vector databases (FAISS, Pinecone) for scalable applications. Contributed to real-world AI applications in document automation and QA use cases.
Designed and developed a centralized Employee Management Application replacing Excel-based tracking. Integrated an AI-powered chatbot using OpenAI APIs for natural language employee data queries. Implemented a Natural Language-to-SQL pipeline with GPT-4 and PostgreSQL. Developed Power BI dashboards for employee retention and attrition analytics. Performed data cleaning with Power Query and created DAX measures for HR KPIs. Integrated Power BI with SQL databases to automate data refresh, reducing manual reporting effort by 80%.