Agents4Science
Agent-based generative AI workflows for literature mining, evidence extraction, and hypothesis generation in rare diseases.
LLMs · RAG · Biomedical NLP
Applied AI Engineer
Prashant Soni
I build production-grade AI systems using LLMs, RAG, and multimodal pipelines for healthcare and finance.
About
Applied AI engineer focused on deploying production-grade AI systems. Experienced in building and shipping LLM, RAG, and multimodal ML pipelines used by researchers in healthcare and finance. Founder of OrphaNova and developer of OrphanAtlas, a rare-disease research platform used by 500+ researchers.
Experience
Founder & Lead Developer, OrphaNova
- Founded an applied generative AI platform for rare-disease healthcare research.
- Built cloud-based ML pipelines on AWS and GCP with scalable inference and secure data handling.
- Designed LLM architectures using RAG, vector databases, and domain-specific prompt orchestration for evidence extraction.
Research Assistant, Yeshiva University
- Built and optimized deep learning approaches for Cardiomegaly detection, achieving 85.75% accuracy on 2k+ labeled X-rays.
- Developed OrphanAtlas.net with GPT-based LLMs, RAG pipelines, embeddings, and interactive maps.
- Awarded Outstanding R&D Award at the Yeshiva University Symposium for AI integration in digital healthcare.
Projects
Multimodal Stock Price Predictor
Combined LSTM time-series modeling with FinBERT sentiment for improved market prediction and risk-adjusted insights.
TensorFlow · LSTM · FinBERT
Kaggle ConnectX RL Agent
Built RL agents with DQN, MCTS, and policy gradients. Ranked 7th globally (top 0.5%).
Reinforcement Learning · Python
GitHub Highlights
Latest repositories from GitHub.
ResearchGate
View my publications and ongoing research on ResearchGate. Visit ResearchGate
Technical Skills
Programming & ML
Python, Pandas, NumPy, SciPy, Matplotlib, TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, Git
Deep Learning & Research
Reinforcement Learning, Computer Vision, NLP, Generative AI, RAG, Responsible AI, CUDA, Multimodal Fusion, W&B, API Development, Hugging Face, LLM Fine-tuning
Data & Cloud
MySQL, MongoDB, Hadoop, Apache Spark, GCP (Vertex AI, TPU), AWS (EC2/S3), Azure ML, Docker
Education
M.S. in Artificial Intelligence
Yeshiva University, Katz School of Science and Health
PG Diploma in Data Science
Indian Institute of Information Technology (IIIT) Bangalore
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