AI · RPA · Digital Transformation

Saikat Sarkar

I help businesses turn AI, automation, and data into measurable outcomes — from predictive models to production-ready agentic systems.

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About

A decade at the intersection of AI and business impact

Saikat Sarkar

I am a results-driven technology professional with over a decade of experience at the intersection of Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and Digital Transformation. My core expertise lies in designing and deploying end-to-end AI solutions, spanning Computer Vision, Audio Analytics, Natural Language Processing (NLP), and advanced predictive modeling.

I specialize in taking ideas from concept to production — ensuring that models are not only accurate in theory but also deliver measurable business value when integrated into live systems. From building scalable AI pipelines and automating enterprise workflows to implementing intelligent dashboards and conversational bots, I focus on solutions that optimize efficiency, reduce costs, and unlock actionable insights.

Beyond project delivery, I am passionate about knowledge sharing and community engagement — mentoring peers, writing about evolving trends in AI and automation, and contributing to open-source projects that make cutting-edge technology accessible to a wider audience.

Skills

Toolkit

Brain

ML & Deep Learning

Python, TensorFlow/Keras, PyTorch, predictive modeling

Vision

Computer Vision & Audio

Image classification, object detection, audio sentiment & analytics

NLP

NLP & GenAI

OpenAI API, LangChain, RAG, embeddings, semantic search

RPA

RPA & Automation

Workflow automation, API integration, chatbots

BI

BI & Dashboards

Power BI, Tableau, Metabase, Superset

Cloud

Cloud & Tooling

Azure, AWS basics, Git, MLOps fundamentals

Projects

Selected Work

Predictive Analytics

Predictive Analytics

Churn model, customer classification for loans and transaction volumes, and IVR call type prediction to reduce wait times.

Computer Vision

Computer Vision

Image classification for field visits and object detection for self and competitor logos.

Audio Analytics

Audio Analytics

Dead air detection and audio sentiment analysis for customer support optimization.

NLP & OCR

NLP & OCR

Email sentiment analysis, OCR-based document detection, and text extraction.

Chatbot

Chatbot

Organization-wide reporting bot with role-based access control for scheduled and ad-hoc insights.

Writing

From the Blog

Building Retrieval-Augmented Generation (RAG) with Amazon Bedrock

Building Retrieval-Augmented Generation (RAG) with Amazon Bedrock

Learn how to implement Retrieval-Augmented Generation (RAG) using Amazon Bedrock with Python, embeddings, and vector databases for enterprise-grade AI search.

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Tokenization and Vectorization in Deep Learning

Tokenization and Vectorization in Deep Learning

Learn how tokenization and vectorization transform text into numerical representations for deep learning models. Includes Python examples with Keras, Word2Vec, and BERT.

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Text-to-SQL with Vanna.AI and Python

Text-to-SQL with Vanna.AI and Python

Learn how to use Vanna.AI with Python to convert natural language questions into SQL queries and run them against your database. Step-by-step guide with code examples, setup, and use cases.

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Have a project in mind or want to discuss how AI could help your business? Reach out.