Vishnu Anurag Thonukunoori
Verified Expert in Engineering
Artificial Intelligence and Machine Learning Engineer and Developer
Franklin Township, NJ, United States
Toptal member since August 8, 2025
Vishnu is an AI/ML engineer with 5+ years of experience building scalable machine learning and generative AI solutions for enterprises. He specializes in LLMs, RAG pipelines, and AWS-based deployments and has had proven success in NLP, prompt engineering, and vector search. Vishnu is trusted by clients across insurance, eCommerce, and sustainability sectors for delivering production-grade AI systems that drive business value.
Portfolio
Experience
- Machine Learning - 5 years
- Python 3 - 5 years
- TensorFlow - 5 years
- AI Model Training - 5 years
- Model Deployment - 5 years
- Amazon SageMaker - 5 years
- Amazon Bedrock AgentCore - 2 years
- LangChain - 2 years
Preferred Environment
Python 3, TensorFlow, Amazon SageMaker, AWS Bedrock AgentCore, LangChain, Hugging Face Transformers, Agentic AI, Generative Artificial Intelligence (GenAI), Machine Learning, Artificial Intelligence (AI)
The most amazing...
...thing I've built is a RAG-based GenAI assistant using LangChain, OpenAI, and Pinecone. It cut response time by 30% and automated NLU workflows.
Work Experience
Machine Learning Engineer | Full-stack Developer
Aapoon
- Built a RAG-based assistant using LangChain and OpenAI, reducing response time by 30%.
- Integrated FAISS and Pinecone for hybrid retrieval in chatbot workflows.
- Built reusable React components for group sync, polling, and messaging interfaces, improving front-end load performance by 25%.
- Engineered back-end APIs in Python using AWS Lambda for policy management, claim status, and agent workflows.
- Created interactive dashboards using Streamlit to visualize usage metrics and user feedback.
- Containerized services using Docker and deployed to AWS Lambda via CI/CD pipelines.
- Developed and maintained dynamic web applications using PHP, integrating with MySQL databases and RESTful APIs.
- Optimized back-end logic, improved application performance, and implemented secure authentication and session management.
Machine Learning Engineer | Full-stack Developer
The Hanover Insurance Group
- Engineered a clause classification pipeline using BERT fine-tuned on insurance policy data.
- Built back-end sync services in Node.js and Python to integrate and normalize inventory from 6 POS systems into PostgreSQL.
- Developed schema-first GraphQL endpoints using AWS AppSync to reduce client-side logic and replace legacy REST APIs.
- Built and deployed ML workflows on AWS SageMaker and GraphQL APIs via AppSync.
- Executed model evaluation using custom scoring metrics and AWS Sagemaker tools and services.
- Worked with actuarial data to support model features related to claims history, loss ratios, and premium trends.
Machine Learning Engineer
1800Spirits
- Built a collaborative filtering engine for personalized product recommendations.
- Trained a neural net that boosted top-5 recommendation accuracy by 22%.
- Processed 1+ million SKU events using batch ETL workflows and Amazon S3 based feature stores.
- Created churn prediction models using XGBoost and logistic regression.
- Delivered real-time inference using AWS Lambda and API Gateway.
Machine Learning Engineer
Waste Management
- Built LSTM models that predicted service delays from vehicle telemetry data.
- Reduced SLA violations by 18% by delivering predictive insights to dispatch teams.
- Built ETL pipelines to process GPS data from trucks using AWS Glue.
- Clustered driver behavior using telemetry patterns to optimize route planning.
- Created performance dashboards using Athena and QuickSight for SLA monitoring.
Experience
LLM-powered Chatbot to Understand User Mental Health and Well-being
https://dagshub.com/Omdena/HyderabadIndiaChapter_MentalHealthWellbeingFomoSocialMedia/src/team-consolidated/srcI implemented mental health-related intent recognition, integrated risk-level scoring logic, and helped visualize user well-being trends. Based on the identified patterns, the chatbot offered contextual recommendations and resource links.
ML Workflow for Scones Unlimited on Amazon SageMaker
https://github.com/Vishnu2001-tech/Udacity_Project_top_500Landmark Classification and Tagging for Social Media
https://github.com/Vishnu2001-tech/Udacity_Project_LandmarkEducation
Bachelor's Degree in Mechanical Engineering
Jawaharlal Nehru Technological University, College of Engineering Hyderabad - Hyderabad, Telangana, India
Certifications
TensorFlow Developer Certificate
TensorFlow
AWS Certified Solutions Architect - Associate
Amazon Web Services Training and Certification
Skills
Libraries/APIs
TensorFlow, React, PyTorch, Hugging Face Transformers, Node.js, Scikit-learn, Keras, XGBoost
Tools
Amazon SageMaker, Git, Microsoft Copilot, Jupyter, PyCharm, Claude, AWS Glue, AWS AppSync, AWS IAM, AWS Step Functions
Languages
Python 3, Python, SQL, XML, JavaScript
Platforms
AWS Lambda, Amazon Web Services (AWS), Docker, Microsoft Copilot Studio, Visual Studio Code (VS Code), Amazon EC2
Storage
PostgreSQL, Elasticsearch, Amazon S3 (AWS S3), MongoDB, Amazon DynamoDB
Paradigms
Object-oriented Programming (OOP), Automation
Frameworks
Streamlit
Other
Machine Learning, Deep Learning, LangChain, Neural Networks, Prompt Engineering, Artificial Intelligence (AI), Large Language Models (LLMs), Agentic AI, Generative Artificial Intelligence (GenAI), Data Science, Data Analysis, Supervised Machine Learning, Labeling, Data Labeling, AI Agents, Machine Learning Operations (MLOps), Retrieval-augmented Generation (RAG), Package Distribution, Statistics, OpenAI, Leadership, Serverless, Cloud Infrastructure, Generative Pre-trained Transformers (GPT), Fine-tuning, Amazon Bedrock AgentCore, Computer Vision, AI Model Training, Model Deployment, CI/CD Pipelines, Natural Language Processing (NLP), Performance, Data Analytics, APIs, Image Processing, Back-end, AI Chatbots, Document Processing, Chatbots, Object Detection, Recommendation Systems, Vector Databases, Chatbot Conversation Design, Conversational AI, Conversational Agent, Model Tuning, Document Parsing, Web Scraping, Full-stack, Predictive Analytics, Predictive Modeling, Time Series Forecasting, API Integration, Front-end Development, Cursor AI, Meta Llama, Data Scraping, Scraping, Big Data, Architecture, Pricing, Pricing Models, Data Preprocessing, Model Evaluation, Pinecone, BERT, Open-source LLMs, AWS Cloud Architecture, Virtual Private Cloud (VPC), Cost Reduction & Optimization (Cost-down), Architecture best practices, Cloud Architecture, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Image Classification, ML Deployment, Logistic Regression, LSTM Networks, Clustering, Transfer Learning, ETL Pipelines, AI Voice Agents
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