🏢 NLP Engineer - Code4GovTech (July 2023 - September 2023)
Location: Remote
Technologies: Python, NLP, Transformers, Hugging Face, Spacy, Neural COreferencing
Key Responsibilities:
- Developed and maintained the data processing pipeline involving Kafka and Zookeeper for efficient data streaming.
- Set up Milvus as a vector database to manage and retrieve document chunks for contextual relevance.
- integrated Hugging Face’s API for model inferencing and question answering.
- Worked on multiple Python scripts for document extraction, processing, ingestion, and inference
Achievements:
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Significantly improved the data ingestion and processing flow by utilizing Kafka, Zookeeper, and Milvus, optimizing the entire pipeline for real-time usage.
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The solution led to an efficient document query system, reducing query processing time and enhancing user experience with accurate and context-aware responses.
🏢 Machine Learning Engineer - HUEGO (June 2024 - August 2024)
Location: Remote
Technologies: LangChain, LLM, ChromaDB, AWS, Docker
Key Highlights:
- Developed a Medical Assistant system powered by a fine-tuned LLM(BioMistral) for medical query answering.
- Integrated Retrieval-Augmented Generation (RAG) approach for multi-document retrieval using ChromaDB.
- Deployed the solution on AWS EC2 using Docker for scalable, high-availability access.
Achievements:
- Enhanced query response accuracy, delivering actionable insights to healthcare professionals.
- Successfully scaled the application on AWS, ensuring availability for worldwide use.
🏢 Freelance GenAI Projects - Kaskara Group and others (2022 - 2024)
Location: Remote
Technologies: LangChain, LangGraph, LLMs, Flask , streamlit, , AWS
Key Highlights:
- Developed and maintained machine learning projects for various clients, focusing on data-driven decision-making.
- Collaborated with clients to understand their requirements and deliver customized ML solutions.
Key Projects:
- Resume Enhancer
- Developed an automated system that customizes resumes and provides interview preparation tips tailored to specific job descriptions.
- Utilized Natural Language Processing (NLP) to extract relevant data from resumes and job descriptions, streamlining the job application process.
- Leveraged LangChain to automate the workflow and OpenAI’s GPT models for enhanced NLP capabilities.
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Automated Multi-Agent Research System
- Developed a system that utilized Generative AI to automate research workflows for clients in the tech industry.
- Leveraged LangChain and LangGraph to build complex workflows for automated data extraction.
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RAG Based Chatbots
- Built various use case specific chatbots for different clients.
- Use case included customer support, quiz generator, etc.