Akash is a Generative AI & Backend Developer with 2 years of experience specializing in Python and AI technologies. He has a proven track record in developing scalable AI applications and backend architectures.
Developed and deployed an enterprise-level Generative AI enablement framework (RAISE).
Built and optimized scalable data pipelines using Databricks for real-time AI-driven workflows.
Implemented AI logic for ticket classification and automated escalation in a production system.
Built RAISE + Service Channel AI Ticket + Intelex AI RFP for Fortive
Overview: An enterprise-level initiative streamlining Generative AI development and deployment. Responsibilities: Designed robust Flask-based RESTful APIs to support RAISE UI components. Built and optimized scalable data pipelines using Databricks for real-time AI-driven workflows. Integrated LangChain to deliver reliable and explainable Generative AI outputs. Focused on cost-efficient LLM management and industrial-scale GenAI adoption.
Overview: A full-stack AI-based customer complaint resolution system built for automating ticket tracking and response. Responsibilities: Developed intelligent chatbot using fine-tuned OpenAI models for customer interactions. Implemented AI logic for ticket classification, prioritization, and automated escalation. Integrated chatbot frontend with Flask-based backend APIs for real-time response generation.
Key outcomes:
Reduced average query resolution time and boosted agent productivity through NLP-enabled automation.
Overview: An AI solution built for Fortive to streamline and accelerate RFP evaluation and response generation. Responsibilities: Developed application backend using Flask with advanced integration of OpenAI GPT models. Built custom NLP pipelines to extract and categorize client requirements, vendor capabilities, and compliance metrics.
Akash Dey
AI/ML Engineer