Panesh Mondal
Kolkata, India
Panesh Mondal
Senior AI Developer & Machine Learning Engineer
Category : Artificial intelligence (AI)
Senior AI & Machine Learning Specialist with 5+ years of professional experience building intelligent systems, generative AI integrations, natural language processing (NLP), chatbots, and automated workflows.
I help businesses design, train, and deploy custom machine learning models and integrate advanced APIs (such as OpenAI, Gemini, Claude) to streamline operations and enhance product capabilities.
Services offered:
- Custom AI Chatbot & Agent Development (RAG, LangChain, LlamaIndex)
- Generative AI & Large Language Model (LLM) Integration
- Natural Language Processing (NLP) & Sentiment Analysis
- Machine Learning & Data Analytics
- Process Automation & Python Scripting
Committed to delivering high-quality, scalable, and efficient AI solutions tailored to your business goals. Let's discuss how we can bring AI power to your project!
I help businesses design, train, and deploy custom machine learning models and integrate advanced APIs (such as OpenAI, Gemini, Claude) to streamline operations and enhance product capabilities.
Services offered:
- Custom AI Chatbot & Agent Development (RAG, LangChain, LlamaIndex)
- Generative AI & Large Language Model (LLM) Integration
- Natural Language Processing (NLP) & Sentiment Analysis
- Machine Learning & Data Analytics
- Process Automation & Python Scripting
Committed to delivering high-quality, scalable, and efficient AI solutions tailored to your business goals. Let's discuss how we can bring AI power to your project!
Portfolio
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:05h00 To 11h00
- Sunday:Not available
![I will automate your business workflows using custom Python scripts and API integrations]()
Say goodbye to repetitive manual tasks. I design lightweight, highly efficient Python automation scripts to fetch data, sync APIs, scrape websites, or format reports automatically. What's included: - ...![I will design and train custom Machine Learning models and Data Analytics solutions]()
Make data-driven decisions using customized predictive analytics. I build, validate, and train machine learning models for regression, classification, clustering, and anomaly detection based on your ...![I will build custom NLP pipelines and Sentiment Analysis systems]()
Extract meaningful value from unstructured textual data. I develop custom Natural Language Processing (NLP) pipelines to automatically analyze customer feedback, support tickets, reviews, or social ...![I will integrate Generative AI and Large Language Models (LLMs) into your app]()
Transform your application by integrating advanced API capabilities from OpenAI, Gemini, and Claude. I help businesses automate text-heavy operations, implement auto-summarization, generate custom ...![I will build a custom AI Chatbot or Agent using RAG (LangChain / LlamaIndex)]()
Get a custom, production-grade conversational AI chatbot or multi-agent system powered by LLMs (OpenAI, Gemini, Claude). I implement Retrieval-Augmented Generation (RAG) using LangChain and ...
Designed and built custom enterprise-grade Generative AI systems, conversational agents, and automated prompt-based workflows.
Key responsibilities and achievements:
- Developed multi-agent systems and conversational flows leveraging LLMs (GPT-4, Claude, Gemini) for automated customer service and internal operations.
- Fine-tuned, tested, and optimized prompts to improve output accuracy, control model behavior, and reduce operational API latency.
- Implemented security protocols and data filters to protect sensitive user information during model interaction and retrieval processes.
Key responsibilities and achievements:
- Developed multi-agent systems and conversational flows leveraging LLMs (GPT-4, Claude, Gemini) for automated customer service and internal operations.
- Fine-tuned, tested, and optimized prompts to improve output accuracy, control model behavior, and reduce operational API latency.
- Implemented security protocols and data filters to protect sensitive user information during model interaction and retrieval processes.
Developed and integrated custom AI solutions, interactive chatbots, and API integrations for client applications.
Key responsibilities and achievements:
- Architected and built conversational AI agents using frameworks like LangChain, incorporating Retrieval-Augmented Generation (RAG) to connect internal knowledge bases with LLMs (OpenAI, Gemini).
- Integrated third-party AI models and neural networks into existing product infrastructures to support NLP and sentiment analysis features.
- Developed backend API endpoints and microservices (Python/Node.js) to support real-time data processing and model inference.
Key responsibilities and achievements:
- Architected and built conversational AI agents using frameworks like LangChain, incorporating Retrieval-Augmented Generation (RAG) to connect internal knowledge bases with LLMs (OpenAI, Gemini).
- Integrated third-party AI models and neural networks into existing product infrastructures to support NLP and sentiment analysis features.
- Developed backend API endpoints and microservices (Python/Node.js) to support real-time data processing and model inference.
Implemented enterprise-scale generative AI solutions and integrated LLM capabilities with predictive analytics suites.
Key responsibilities and achievements:
- Developed and deployed enterprise AI features that leverage LLMs for data ingestion, unstructured text parsing, and executive decision-making dashboards.
- Configured data pipelines and fine-tuned foundational models to enhance domain-specific search and text summarization accuracy.
- Ensured models meet strict enterprise requirements for scalability, compliance, and low-latency system integration.
Key responsibilities and achievements:
- Developed and deployed enterprise AI features that leverage LLMs for data ingestion, unstructured text parsing, and executive decision-making dashboards.
- Configured data pipelines and fine-tuned foundational models to enhance domain-specific search and text summarization accuracy.
- Ensured models meet strict enterprise requirements for scalability, compliance, and low-latency system integration.
Worked as an AI-Augmented Product Engineer, leveraging advanced generative AI tools and large language models (LLMs) to accelerate product development cycles and engineer high-quality features.
Key responsibilities and achievements:
- Integrated generative AI assistants (such as GitHub Copilot and custom LLM agents) into the development workflow to improve code quality, reduce refactoring time, and increase output speed.
- Collaborated on designing and deploying scalable software architectures, utilizing prompt engineering and automated workflows for faster delivery.
- Conducted regular code reviews and performance profiling, ensuring optimal resource utilization and system responsiveness.
Key responsibilities and achievements:
- Integrated generative AI assistants (such as GitHub Copilot and custom LLM agents) into the development workflow to improve code quality, reduce refactoring time, and increase output speed.
- Collaborated on designing and deploying scalable software architectures, utilizing prompt engineering and automated workflows for faster delivery.
- Conducted regular code reviews and performance profiling, ensuring optimal resource utilization and system responsiveness.
Completed the Google AI Essentials program, focusing on practical applications of artificial intelligence, generative AI technologies, and advanced prompting techniques.
Key topics and skills developed:
- Implementing generative AI tools to streamline workflows, analyze data, and enhance daily business productivity.
- Developing effective prompt engineering strategies to leverage Large Language Models (LLMs) for specific tasks.
- Understanding the principles of responsible AI, ethical considerations, and mitigating bias in AI-driven outputs.
This credential validates my practical skills in applying modern AI tools and methodologies to solve real-world business challenges.
Key topics and skills developed:
- Implementing generative AI tools to streamline workflows, analyze data, and enhance daily business productivity.
- Developing effective prompt engineering strategies to leverage Large Language Models (LLMs) for specific tasks.
- Understanding the principles of responsible AI, ethical considerations, and mitigating bias in AI-driven outputs.
This credential validates my practical skills in applying modern AI tools and methodologies to solve real-world business challenges.
Completed rigorous coursework covering the foundational and advanced principles of Computer Science and Artificial Intelligence. Gained deep hands-on experience in algorithms, data structures, software engineering, and database management.
Key areas of study and projects included:
- Formulating search algorithms, optimization models, and machine learning agents.
- Implementing artificial intelligence concepts such as neural networks, natural language processing (NLP), and knowledge representation.
- Developing complete, interactive software projects utilizing Python, C, SQL, and JavaScript.
This academic foundation serves as the cornerstone for my expertise in building advanced, intelligent AI systems and automated workflows.
Key areas of study and projects included:
- Formulating search algorithms, optimization models, and machine learning agents.
- Implementing artificial intelligence concepts such as neural networks, natural language processing (NLP), and knowledge representation.
- Developing complete, interactive software projects utilizing Python, C, SQL, and JavaScript.
This academic foundation serves as the cornerstone for my expertise in building advanced, intelligent AI systems and automated workflows.
- 🇩🇪 Deutsch
- 🇬🇧 English
- 🇪🇸 Spanish
- 🇫🇷 French
- 🇮🇳 Hindi
- 🇵🇱 Polish
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