Aug 2024 – Sep 2024 · 1 mo · Bengaluru, Karnataka, India

• 1. Agentic Workflows for RDF Graph Automation: Leveraged agentic workflows to automate the generation and validation of RDF graphs using SHACL constraints. Each agent handled a specific task, from RDF generation to validation, ensuring that the ontological structures were consistently applied throughout the process.
• 2. Gen AI for SHACL Validation and Data Integrity: Utilized Gen AI to enhance the validation process by automatically interpreting and verifying RDF graph structures against SHACL shapes. This ensured that all generated graphs were compliant with defined ontologies, maintaining data integrity across various datasets.
• 3. Streamlit UI and API Endpoints for Real-Time Validation: Built an interactive interface using Streamlit, allowing users to generate and validate RDF graphs in real-time. Also created API endpoints to automate validation tasks, enabling scalable and accessible validation services for external applications or systems.

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India

• 1. Tool Development and Multi-Agent Workflows:-
• Developed over 5 tools for LLM repositories and worked with advanced multi-agents frameworks such as AutoGen, Lang-Graph, LangChain, and Crew-AI. Successfully created and implemented multi-agent workflows, and conducted comprehensive result comparisons with existing LLM repositories.
• 2. AI Governance and Competitive Analysis :-
• Contributed to AI governance by ingesting documents into Qdrant service and analyzed in depth strategies of competitors, and created a focused report on IBM Watson-X AI governance platform, to understand their approaches and potential achievements.
• 3. Hackathon Participation and Product Development:-
• Collaborated in a team in a hackathon to develop a gap analysis product from scratch using a multi-agent approach. Played a key role in creating the necessary tools, designing prompts, and developing the architecture, while actively contributing to team ideation and processing

Jul 2024 – Aug 2024 · 1 mo · Remote

Dec 2023 – Mar 2024 · 3 mos · Pune, Maharashtra, India · Hybrid

• 1. Successfully designed the Rag based application for medical information generation.
• 2. Researched with different embeddings methods and optimized the application and improved the output of the LLM application and prevented the hallucination of the LLM.
• 3.Researched in different image processing techniques to find the solution for the symptoms identifications using nails and its colors.

Aug 2023 – Jan 2024 · 5 mos · United States · Remote

• 1. Spearheading the development of flagship product by harnessing advance technologies like GPT-3.5 Turbo, llama2, Hugging Face, LangChain, ChromaDB, Pinecone
• 2. Trained the LLM model to effectively extract information from PDFs, documents, texts and process voice inputs, enhancing the product's adaptability and functionality
• 3. Implemented Speaker diarization by optimizing audio processing and integrating mfccs and gpt modelling, resulting in a significant $40 reduction in cloud service expenses

May 2023 – Aug 2023 · 3 mos · Remote

• 1. Increased the performance by 33% by devising and executing a robust product plan, leading the development of an advanced Enhanced Noise Cancellation algorithm
• 2. Achieved accuracy of 93% by extracting the frequency to train the model on a dataset of 1,000,000 audio samples using the DLT, MFCCs,RNN and CNN models
• 3. Improved the human ear protection by 35% by skillful application of ENC Algorithm, effectively suppressing extreme high noise levels and background echo by 80%

Feb 2023 – Apr 2023 · 2 mos · Ahmedabad, Gujarat, India · Remote

• ■ Handle the designing work, and implement various services to improve our existing
• User Interface Dashboard.
• ■ Use statistical methods to analyze data and generate useful business reports
• ■ Work with the management team to create a prioritised list of needs for each business
• segment
• ■ Identify and recommend new ways to save money by streamlining business
• processes
• ■ Use data to create models that depict trends in the customer base and the consumer
• population as a whole
• ■ Work with departmental managers to outline the specific data needs for each business
• method analysis project
• ■ Using automated tools to extract data from primary and secondary sources
• ■ Removing corrupted data and fixing coding errors and related problems
• ■ Developing and maintaining databases, and data systems – reorganizing data in a
• readable format
• ■ Performing analysis to assess the quality and meaning of data
• ■ Filter Data by reviewing reports and performance indicators to identify and correct
• code problems
• ■ Using statistical tools to identify, analyze, and interpret patterns and trends in complex
• data sets could be helpful for the diagnosis and prediction
• ■Assigning numerical value to essential business functions so that business
• performance can be assessed and compared over periods of time.
• ■ Preparing reports for the management stating trends, patterns, and predictions using
• relevant data

Jan 2023 – Apr 2023 · 3 mos · On-site

Sep 2022 – Oct 2022 · 1 mo

Aug 2022 – Mar 2023 · 7 mos

Aug 2022 – Aug 2022 · 0 mo

May 2022 – Aug 2022 · 3 mos · On-site