Amit Rade

Data Scientist

Pimpri Chinchwad, Maharashtra, India3 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Reduced audit time by 40% with innovative ML solutions.
Boosted document extraction accuracy from 79% to 90%.
Improved customer support auto-resolution rates by 30%.

Stackforce AI infers this person is a Data Scientist specializing in Generative AI and Machine Learning for enterprise solutions.

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Skills

Core Skills

Machine LearningGenerative Ai & Llms

Other Skills

Fraud DetectionNLPFeature EngineeringFuzzy MatchingHypothesis-based FilteringRegression ModelsPrompt EngineeringGenerative AIRAGVector DatabasesLangGraphLLM Fine-tuningMCP ProtocolAgentic AIAWS SageMaker

About

I am a Data Scientist with nearly 3.5 years experience in specializing in Generative AI and Machine Learning, passionate about designing and deploying LLM-powered enterprise solutions that drive measurable business impact. I have built and deployed solutions such as: Fraud detection pipelines using RAG + Vector Databases (FAISS) and LangGraph workflows, reducing audit time by 40%. Intelligent document extraction systems leveraging LLM fine-tuning, Prompt Engineering, and MCP Protocol, boosting accuracy from 79% → 90%. Agentic AI assistants for customer support, improving auto-resolution rates by 30% and enhancing customer satisfaction. I also bring experience in forecasting, anomaly detection, and Generative UI design, with successful deployments on AWS Bedrock/SageMaker in enterprise environments. 💡 Core Skillsets: Generative AI & LLMs: LangChain, LangGraph, RAG, Vector Databases, LLM Fine-tuning (LoRA, PEFT), Prompt Engineering, Agentic AI Cloud & MLOps: AWS Bedrock, AWS SageMaker, CI/CD Pipelines, Docker, Kubernetes, MLflow Machine Learning & Deep Learning: Neural Networks, Transformers, Embeddings, PyTorch, TensorFlow, Scikit-learn Programming & Engineering: Python, JavaScript/TypeScript, Next.js, REST/GraphQL APIs Responsible AI & Testing: LLM Evaluation, Agent Testing, Bias Mitigation, Guardrails

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

Coupa software

Data Scientist

Jul 2022 – Present · 3 yrs 10 mos · Pune, Maharashtra, India · Remote

As a Data Scientist at Coupa, I’ve led the development and deployment of end-to-end machine learning models to automate the auditing of OCR-extracted receipt data, resulting in a 50% reduction in manual review time. I built robust duplicate detection systems for invoices and receipts using feature engineering, fuzzy matching, and hypothesis-based filtering, achieving over 75% accuracy. Additionally, I created regression models for audit prioritization that improved detection of high-risk transactions with 71% predictive accuracy. My work also includes designing NLP pipelines to extract key information like dates and amounts from noisy OCR text using regex, programmable patterns, and classification techniques. Across all projects, I’ve handled multiple customer tickets end-to-end translating business needs into ML solutions and delivering production-ready models. I have an extensive experience in handling end to end tasks - from understanding of customer problem, converting it into AI problem, building hypothesis to get best optimum solution and explaining solution back to customer in business terms.
Currently exploring Generative AI and LLMs: building prompt-based prototypes, fine-tuning open-source models, and experimenting with retrieval-augmented generation (RAG).

Fraud DetectionNLPMachine LearningFeature EngineeringFuzzy MatchingHypothesis-based Filtering+4