ashish Diwakar

About

GenAI and AI/ML engineer with 3+ years of experience building autonomous predictive systems, LLM-powered enterprise applications, and production MLOps pipelines. Specialized in multi-agent orchestration, RAG architectures, fine-tuning, and scalable data-driven systems using Python, LangChain, LangGraph, vector databases, and cloud infrastructure.

Experience

• Co-Founder
  Cubical Research LLP
  Jun 2025 – May 2026
• Quantitative Researcher
  PASHUPATI CAPITAL SERVICE PVT LTD
  Jul 2024 – Jan 2025
• Quantitative Analyst
  IRAGE CAPITAL
  Mar 2022 – Feb 2023
• Tech Support Executive and Monitoring
  MATCHPOINTGPS PVT LTD
  Jun 2018 – Jun 2019

Education

• Master of Computer Application
  NMIMS University
  Computer Application · Jul 2019 – Apr 2021
• Bachelor's of Science in Information Technology
  University of Mumbai
  Information Technology · Jun 2015 – Jun 2018

Skills

• SQL
• C
• Python
• Jupyter Notebook
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• AWS
• Keras
• Hugging Face
• LangChain
• Bash
• Kafka
• LangGraph
• Qdrant
• Pinecone
• Milvus
• DuckDB
• Weaviate

Projects

• Time-Series Volatility & Price Forecasting Model
  TensorFlow, Keras, LSTM

  Built an LSTM-based forecasting model on historical tick data to improve volatility prediction accuracy, engineer features, and deploy real-time inference.

• Autonomous Agentic AI & GenAI Market Analysis Framework
  OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini Pro, LangChain, LangGraph, RAG, Docker, MLflow, AWS

  Proof-of-concept trading framework combining Agentic AI with quantitative models to ingest, parse, and analyze macroeconomic reports and financial news in real time.

Courses & certifications

• Machine Learning and Data science in Mathematics · DeepLearning.AI · 2026
• MLOps Pipeline Engineering & Production Orchestration · DataTalks.Club · 2026