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Panesh Mondal

Panesh Mondal

Senior AI Developer & Machine Learning Engineer
📍 Kolkata, India · (0) · Member since June 2026
Availability
🏠 Works remotely / from home Yes No
🧰 Travels to client Yes No

Presentation

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!
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Offered services

5 services
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Background

Generative AI Developers
SoluLab · 10/12/2025 – 25/04/2026
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.
AI app development
ClickIT · 16/09/2024 – 08/11/2024
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.
Generative AI Specialist
C3 AI · 05/04/2024 – 28/07/2024
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.
AI-Augmented Product Engineer
Crossover · 19/12/2023 – 25/02/2024
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.
artificial intelligence
Google AI Essentials · 2022 – 2023
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.
computer science & artificial intelligence
Harvard CS50 · 2019 – 2022
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.
🇩🇪Deutsch 🇬🇧English 🇪🇸Spanish 🇫🇷French 🇮🇳Hindi 🇵🇱Polish
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Working hours

Monday
From08h00To18h00
Tuesday â–ª Today
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
From05h00To11h00
Sunday
Closed

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