Data Science Lead - GenAI @ Qyrus. Working on Applied Generative AI, multi-modal LLMs, SOTA Deep Learning models, and API Development Techniques.
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Qyrus
Data Scientist
June 20, 2026 – Present
PDF2Pod
October 13, 2024 – October 13, 2024
PDF2Pod converts PDF documents into short, multi-speaker podcasts—with up to five voices—using OpenAI's GPT-4 API and Eleven Labs TTS.
View ProjectGraphRAG4Rec
July 14, 2024 – July 21, 2024
A naive implementation of GraphRAG for Movie Recommendation on IMDB Top 1000 movies dataset.
View Projectlocal-diagramgpt
May 12, 2024 – May 28, 2024
A narrow implementation of DiagramGPT for generating system architecture diagrams with local LLM models and Llama.cpp
View Projectllama-cpp-search
April 28, 2024 – April 28, 2024
A GenAI Search powered by llama-cpp-python and small language model Phi-3
View ProjectGenAINewsAgent
April 21, 2024 – April 21, 2024
A quick implementation of a GenAI News Summary agent using Llama-3 over Groq.
View Projectclaudetools
March 9, 2024 – January 14, 2025
Claudetools is a Python library that enables function calling with the Claude 3 family of language models from Anthropic.
View ProjectFuncReAct
August 16, 2023 – August 25, 2023
A ReAct type thought framework written using OpenAI function calling. Has the ability to BYOA (bring your own actions)
View ProjectMultiLabelClassifier
November 2, 2019 – November 24, 2019
Multi-label Classification using PyTorch on the CelebA dataset.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong self-starter and a passion for exploring cutting-edge AI technologies. The projects are diverse within the AI/ML domain, suggesting adaptability and a continuous learning mindset. However, all listed projects are personal, and there is only one current professional experience entry as a Data Scientist at Qyrus with no details, making it difficult to fully assess cultural fit within a team or corporate environment. The target role is Data Scientist, which aligns well with the candidate's project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.