Reflexion: Revolutionizing Language Agents with Verbal Feedback
Discover how the 'Reflexion' framework is transforming AI language models with verbal reinforcement learning, enabling them to self-reflect and improve their responses.
About
I’m a Machine Learning Engineer with a background in computer science and an MSBA from UC Davis. I’ve worked at Novo Nordisk (Oct 2021–Jul 2023), where I built predictive models that boosted sales, optimized large-scale data pipelines to cut cloud costs, and deployed scalable ETL workflows for real-time analytics. At INFORMS, I developed real-time sentiment analysis systems and LLM-powered agents that automated processes and improved engagement. Currently, I’m contributing at KindKart by building applied AI products that streamline operations and decision-making.
My skills include Python, SQL, R, TensorFlow, PyTorch, Hugging Face, LangChain, and cloud platforms like AWS and GCP. I’ve designed and deployed LLM agents, fine-tuned transformer models, and built production-ready pipelines that deliver measurable business value.
I focus on LLMs, production ML systems, and NLP, combining technical depth with business insight to create scalable AI solutions that solve real problems.
Data Analytics Engineer & Machine Learning Engineer
- Birthday: 23 Nov 2000
- Phone: (415) 305-2528
- City: San Francisco, CA
- Age: 23
- Degree: Master's
- Email: himprakash@ucdavis.edu, himanishprakash23@gmail.com
Fun Fact: My parents changed my name three times because it wasn't matching with our last name.
Interests: Sports Enthusiast | Swimmer | Foodie | Outdoor Activities
Resume
Snapshot of my education and experience.
Education
Master of Science in Business Analytics
Aug 2023 – Jun 2024
University of California, Davis
Machine Learning, Advanced Statistics, Big Data, Supply Chain Management
B.Tech in Computer Science
Jun 2018 – Jul 2022
Christ University, Bengaluru, IND
Data Management, Natural Language Processing, AI
Professional Experience
AI/ML Engineer
Apr 2025 – Present
KindKart
- Built invoice-processing agents with Google Gemini that automated ~90% of vendor receipt price entry and cut processing time from 8+ hours to minutes.
- Developing an AI-driven scholarship ranking system that prioritizes candidates via personal, family, and socioeconomic factors to enable equitable awards.
Machine Learning Engineer (Practicum)
Sep 2023 – Dec 2024
INFORMS
- Increased retention and engagement by 15–25% by deploying real-time sentiment analysis models in Python to inform decisions.
- Built and deployed LLM-powered agents (LangChain + OpenAI) with prompt chaining, vector search memory, and task routing for social sentiment automation.
Machine Learning Engineer
Oct 2021 – Jul 2023
Novo Nordisk, Bengaluru, IND
- Drove ~20% sales lift by developing and deploying ML models (incl. Random Forest) to generate actionable insights from large datasets.
- Reduced AWS costs by ~30% by migrating pipelines to Spark and optimizing resource utilization for scalable training and inference.
- Designed and deployed ETL pipelines in AWS Glue/S3 to preprocess 1–10GB/day time-series data, enabling automated, reproducible feature engineering.
- Containerized ML pipelines with Docker and deployed real-time inference APIs to meet low-latency production requirements.
- Researched, developed, and deployed marketing-mix models to estimate channel-level ROI and guide spend allocation.
- Integrated a Power App into Power BI dashboards to capture stakeholder feedback, reducing manual collection effort by ~25%.
Portfolio
A glimpse of some of the projects I've worked on, showcasing my skills in data science, machine learning, and development.
- All
- Machine Learning
- Deep Learning
- Web Scraping
- Price Optimisation
Blog
Here are some of the articles I’ve written on Medium, focusing on cutting-edge developments in machine learning and AI.
Generative Adversarial Networks (GANs)
An introduction to GANs, their architecture, and applications in creating realistic images, art, and beyond. Learn how these networks are shaping the future of generative AI.
Contact
Feel free to contact me through the information below.
Location:
Outer Richmond,San Francisco, CA 94121
Email:
Call:
+1 415-305-2528