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AI/ML Engineer with 3+ years of experience building and deploying machine learning, deep learning, and Generative AI solutions for real-world business needs. Skilled in scalable AI systems, NLP, and LLM-powered applications using Python, TensorFlow, LangChain, and AWS. Experienced in end-to-end model development, MLOps, deployment, and performance optimization in production. Strong communicator who collaborates across teams to deliver measurable outcomes such as faster document review, improved fraud detection, and automated support workflows.…AI/ML Engineer with 3+ years of experience building and deploying machine learning, deep learning, and Generative AI solutions for real-world business needs. Skilled in scalable AI systems, NLP, and LLM-powered applications using Python, TensorFlow, LangChain, and AWS. Experienced in end-to-end model development, MLOps, deployment, and performance optimization in production. Strong communicator who collaborates across teams to deliver measurable outcomes such as faster document review, improved fraud detection, and automated support workflows.

Nayna Bhingaradiya

AI Engineer, AI Developer, AI Prompt Engineer, +2

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AI/ML Engineer with 3+ years of experience building and deploying machine learning, deep learning, and Generative AI solutions for real-world business needs. Skilled in scalable AI systems, NLP, and LLM-powered applications using Python, TensorFlow, LangChain, and AWS. Experienced in end-to-end model development, MLOps, deployment, and performance optimization in production. Strong communicator who collaborates across teams to deliver measurable outcomes such as faster document review, improved fraud detection, and automated support workflows.…AI/ML Engineer with 3+ years of experience building and deploying machine learning, deep learning, and Generative AI solutions for real-world business needs. Skilled in scalable AI systems, NLP, and LLM-powered applications using Python, TensorFlow, LangChain, and AWS. Experienced in end-to-end model development, MLOps, deployment, and performance optimization in production. Strong communicator who collaborates across teams to deliver measurable outcomes such as faster document review, improved fraud detection, and automated support workflows.

Available to hire

AI/ML Engineer with 3+ years of experience building and deploying machine learning, deep learning, and Generative AI solutions for real-world business needs. Skilled in scalable AI systems, NLP, and LLM-powered applications using Python, TensorFlow, LangChain, and AWS.

Experienced in end-to-end model development, MLOps, deployment, and performance optimization in production. Strong communicator who collaborates across teams to deliver measurable outcomes such as faster document review, improved fraud detection, and automated support workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Grant Thornton, USA

January 1, 2024 - Present

Designed and deployed a Generative AI-powered document summarization solution using LangChain, OpenAI GPT-4, and FAISS, reducing manual review time by 40% for audit teams. Built end-to-end machine learning pipelines for financial anomaly detection using Python, scikit-learn, and XGBoost, improving fraud detection accuracy by 25%. Developed custom Named Entity Recognition (NER) models using spaCy and transformer-based embeddings for extracting key financial entities from large 10-K filings. Implemented MLOps workflows with MLflow and Docker for experiment tracking and reproducible, versioned deployments. Created Streamlit/Plotly dashboards for predictions, monitoring metrics, and data drift insights. Optimized inference latency by 35% using AWS SageMaker serverless endpoints and model serialization improvements. Implemented A/B testing workflows to validate statistically significant improvements before deployment. Collaborated with engineering and analytics teams to translate business r

Generative AI Engineer at Juniper Networks, USA

January 1, 2023 - January 1, 2024

Engineered an LLM-based chatbot for internal IT support using RAG architecture with Pinecone, LangChain, and GPT-3.5, automating resolution of 60% of tier-1 support tickets. Fine-tuned BERT-based models for network log anomaly detection, achieving 92% F1-score while reducing false positives by 30%. Built active learning-based automated data labeling pipelines, reducing manual annotation efforts by 50%. Developed real-time inference APIs with FastAPI and deployed scalable services on Kubernetes (EKS) with autoscaling. Created reusable prompt engineering frameworks to improve consistency and reliability of LLM outputs across summarization and code-generation tasks. Implemented model monitoring and observability using Evidently AI and Prometheus for data drift and production performance tracking. Integrated ML workflows into CI/CD using Jenkins and GitHub Actions. Authored technical documentation, deployment guides, and operational runbooks to support AI governance and engineering best pr