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Generative AI Engineer / AI/ML Engineer with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade AI, Machine Learning, NLP, Generative AI, LLM, RAG, and Agentic AI solutions across banking, insurance, financial services, healthcare, and retail domains. Strong hands-on experience building LLM-powered applications, RAG pipelines, enterprise search platforms, document intelligence systems, AI assistants, semantic search solutions, and agentic AI workflows using Python, LangChain, LangGraph, LangSmith, Llamalndex, Azure OpenAI, OpenAI APIs, Hugging Face Transformers, FAISS, Pinecone, ChromaDB, and vector search frameworks. Specialized in designing end-to-end Retrieval-Augmented Generation pipelines, including document ingestion, parsing, chunking, embedding generation, vector indexing, hybrid retrieval, semantic search, prompt construction, grounded response generation, citation handling, hallucination reduction, evaluation, and production monitoring. Strong experience in Agentic AI workflows using LangGraph and LangChain, enabling tool orchestration, multi-step reasoning, workflow automation, structured outputs, function calling, tool calling, and enterprise AI task execution. Proficient in Python, SQL, PySpark, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, BERT, RoBERTa, Hugging Face Transformers, FastAPI, Flask, MLflow, Docker, and Kubernetes. Experienced in building ML models for classification, regression, anomaly detection, fraud detection, risk scoring, churn prediction, customer segmentation, time-series forecasting, NLP, and predictive analytics. Hands-on cloud experience across Azure, AWS, and GCP, with client-specific delivery using Azure for banking GenAI and healthcare analytics, AWS for insurance MLOps and retail backend platforms, and GCP for financial ML/NLP model deployment and scalable analytics. Strong MLOps and LLMOps experience, including model versioning, prompt versioning, CI/CD pipelines, model registry, automated retraining, drift detection, response evaluation, latency monitoring, token usage tracking, observability, rollback strategy, and production support. Experienced in secure AI deployment within regulated environments, applying RBAC, PII/PHI masking, encryption, access controls, audit logging, HIPAA-aware workflows, and financial data security practices. Skilled in creating business-facing dashboards and monitoring solutions using Power BI, Tableau, Grafana, Prometheus, Azure Monitor, and Application Insights to track AI usage, model performance, feedback trends, latency, and business adoption. Collaborative engineering professional with experience working with data engineers, DevOps teams, compliance teams, business stakeholders, product teams, and enterprise architecture groups to deliver production-ready AI/ML solutions.

A highly accomplished and innovative Lead AI & Automation Engineer with 9.6 years of extensive experience in architecting, developing, and deploying cutting-edge, AI-powered automation solutions and intelligent applications. Expertise in leading the full project lifecycle for enterprise-grade systems, leveraging Python, Machine Learning, and advanced Generative AI techniques (including LLMs, Langchain, Prompt Engineering, and Agent Implementations) to drive significant operational efficiencies, data-driven insights, and transformative business outcomes. Seeking a challenging leadership role to spearhead AI and automation initiatives, fostering innovation and delivering impactful, scalable solutions.

Over 6+ years of experience in Data Analytics, Generative AI, Agentic AI, Machine Learning, and scalable data solutions, with strong expertise in Python, SQL, Tableau, Power BI, ETL, and cloud technologies. Skilled in Prompt Engineering, Fine-Tuning, Embeddings, Transformers, LoRA/DoRA, LLMs, Agentic AI workflows, and Retrieval-Augmented Generation (RAG) using Hugging Face, LangChain, LlamaIndex, OpenAI APIs, FAISS, and ChromaDB. Experienced in developing AI-driven automation pipelines, intelligent data extraction systems, interactive dashboards, and end-to-end data processing solutions using AWS services, Playwright, and modern ML frameworks. Adept at building scalable analytical and AI-powered systems, optimizing workflows, and delivering actionable business insights through advanced AI, NLP, and data engineering technologies.

Motivated software engineering postgraduate with hands-on expertise in Generative AI, LLMs, and advanced software engineering. Skilled in Python, Java, C, full-stack development, cloud computing, and scalable architectures. Experienced in prompt engineering, RAG pipelines, and AI system integration, with proven excellence in national-level competitions.

DINESH KUMAR M

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AI/ML Engineer

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B.Tech - Computer Science Engineering

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AI/ML Engineer

B.Tech - Computer Science Engineering

Higher Secondary (12th Grade) - undefined

Secondary School (10th Grade) - undefined

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