Hello, I'm Hrithik Rai Saxena

Master of Science (M.Sc.)

Major in Artificial Intelligence and Data Science.

Bachelor of Engineering (B.E.)

Information Technology.

Founding AI Agent Engineer

• Designing and deploying AI native workflows on top of complex industrial product data, enabling agents to operate across use cases like technical sales, data processing, and decision automation.
• Development of agent evaluation suite from defining behaviour driven development, to writing test cases and executing test runs.
• Developing and optimizing agent behaviour over defined quality criterias.
• Retriever evaluation and optimization.

Lead AI Software Engineer

• Architected and deployed end-to-end GCP data pipelines — from ingestion (SFTP, XML parsing) to BigQuery and Vertex AI integrations.
• Implemented vendor ETL automation, image processing, and batch captioning pipelines using Gemini APIs, reducing manual processing time by 90%.
• Vectorized & captioned over 2M+ fashion products cost-effectively, enabling high-quality retrieval and outfit recommendations.
• Deployed CLIP-based embedding models and a Weaviate vector database, powering hybrid search across text, image, keyword, and vector signals.
• Built the Estyl Agent Service from the ground up — modular agentic architecture, REST & WebSocket APIs, Redis infrastructure, event tracking and CI/CD.
• Delivered real-time experiences for chat, wishlist management, and outfit composition via scalable Cloud Run deployments.

Assistant Professor (CSE – AI/ML)

• Designed and taught graduate-level courses on Machine Learning, Deep Learning, and GenAI.
• Mentored and guided projects for over 300 students.
• Conducted research on neurocomputing - Grid and Place neuron modeling for spatial navigation.

Data Scientist - Freelance

• Developed a real-time financial analytics pipeline for high-frequency trading insights.
• Built AI models (Scikit-learn, TensorFlow) for market trends and portfolio optimization.
• Processed large-scale financial data using DB2 Data Warehouse.
• Deployed AI pipelines on AWS (S3, SageMaker, Lambda, Bedrock) for seamless integration.
• Conducted sentiment analysis on financial news using LLMs, RAG, and LangChain.

Data Scientist, Student Researcher

• Developed revenue and demand forecasting systems integrating AI, statistics, and backend infrastructure.
• Implemented data pipelines for demographic analysis on Nvidia Jetson Nano.
• Reduced cumulative forecast error from 8 to 3.2 using probabilistic modeling (CROSTON-TSB).
• Led time-series forecasting models (SARIMA-X) with multivariate analysis and hyperparameter tuning.
• Optimized microservice architecture for forecast systems, improving system efficiency.
• Achieved "Top Star Performer" recognition for contributions.

AI Intern

• Developed retraining strategies for RL product (ContiloopAI) with experiment monitoring.
• Enhanced data preprocessing pipelines for factory data using real-time sampling strategies.
• Authored technical documentation on reinforcement learning methodologies.

Data Scientist and Analyst (Contract)

• Developed an SVM-based classification system for Ration Card allotment, reducing turnaround time by 70%.
• Revamped legacy information architectures to align with modern data science strategies.