Arijit Sen

About Arijit Sen

I’m a recent B.Tech graduate in Mathematics and Computing from Delhi Technological University, passionate about leveraging Generative AI, Machine Learning, and applied data science to solve complex real-world problems.During my internship at Bain & Company, I worked in the Data & Tech team, where I designed an AI-powered tourism evaluation system integrating OpenAI GPT, web search APIs, and sentiment analysis. I also automated internal HR communications using Python and Power Automate, reducing manual effort by 30%, and developed data-driven dashboards in Tableau to support executive decisions. This hands-on exposure to client-facing analytics deepened my interest in the intersection of AI systems and business intelligence.Previously, at Medoc Health, I built a machine learning model to predict patient no-shows, achieving an 85% ROC AUC score and improving healthcare scheduling efficiency by 35%.Beyond internships, I’ve engineered a RAG-based chatbot using HuggingFace embeddings and Groq’s Tensor Streaming Processor, cutting response latency by 45%. I’m also co-authoring a research survey titled “Adversarial Attacks in NLP: Classical Tasks, RAG Systems, and Conversational AI”, which explores vulnerabilities in modern LLM pipelines and mitigation strategies for secure AI systems.Proficient in Python, TensorFlow, LangChain, FastAPI, and Docker, I thrive at the intersection of AI research, full-stack engineering, and scalable GenAI systems. I’m currently seeking full-time opportunities where I can drive innovation in Generative AI, NLP, and trustworthy machine learning.Let’s connect if you’re looking for someone who combines technical depth, research insight, and a client-first engineering mindset.

Experience

1. Forward Deployed Software Engineer

   UnifyApps

   Dec 2025 — Present · Gurugram, IN

   Engineered an AI-driven order intake agent that parses client emails, performs API-based inventory and address validation, applies fuzzy matching to identify mislabelled attributes, and routes unresolved orders to human-in-the-loop queues. Architected an intelligent email ingestion pipeline that converts unstructured mailbox data into structured order records and triggers downstream fulfillment workflows for streamlined order processing. Implemented enterprise AI agents and analytics platforms integrating LLM-based response generation, RBAC ticket routing dashboards, and chart/Excel-based reporting tools, improving ticket resolution visibility and supporting an AI-powered ticket management system

Education

• Delhi Technological University (Formerly DCE)

  Bachelor of Technology - BTech, Mathematics and Computer Science

• St. Xavier School - Delhi

  Science