Priyal is a ML Engineer with 4+ years of experience in developing AI and machine learning solutions. Proficient in Python, AWS, and various AI frameworks, Priyal has successfully led projects that leverage advanced AI technologies.
Led projects utilizing AI and LLM technologies to create scalable applications.
Proficient in cloud platforms like AWS and GCP for high-performance solutions.
Developed predictive models for real-time trading using AI and ML techniques.
Implemented CI/CD pipelines for efficient deployment of LLM-based features.
Built Text-to-SQL + IntelliCode + TradersHub + AXON AI + Image Captioning
Overview: This project aims to develop a robust API capable of converting natural language queries into SQL code. Responsibilities: Utilize LLaMA 3 SQL Coder and DeepSeek R1 for natural language to SQL translation, implement Transformer-based architectures using PyTorch for fine-tuning, and ensure API scalability and security.
Overview: AI-driven code assistance platform with intelligent code completion and contextual insights. Responsibilities: Developed AI Agents using LangGraph, integrated RAG pipeline with Pinecone, and optimized system reliability through CI/CD pipelines.
Overview: AI-powered SaaS trading platform providing predictive analytics and intelligent trade recommendations. Responsibilities: Developed predictive models for real-time trading, integrated CI/CD pipelines with Jenkins, and deployed scalable infrastructure on AWS.
Overview: Crypto trading bot using LSTM, XGBoost, and NLP techniques for price prediction and sentiment analysis. Responsibilities: Developed and optimized machine learning models for crypto price prediction and integrated BERT-based sentiment analysis.
Overview: This project generates descriptive captions for images using a deep learning model. Responsibilities: Developed a model using Keras and Flask to allow users to upload images and receive captions.
Priyal
AI/ML Engineer