Belo Abhigyan

About Belo Abhigyan

I am a Generative AI, Data Science, and Machine Learning professional specializing in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and applied Large Language Model (LLM) systems. With a Master of Science in Computer Science from the University of Delhi, I focus on building intelligent, scalable AI systems that drive efficiency in information retrieval, predictive analytics, and AI-driven automation.Currently, I work as an AI Consultant at ixigo, where I contribute to AI-driven automation and workflow orchestration across internal systems, including agentic LLM workflows, data pipelines, and reliability-focused improvements for production AI systems. Previously, I worked as a Data Science Intern (GenAI) at InvoLead, where I researched and optimized retrieval techniques, embedding models, and vector search frameworks for LLM-based applications. I have also worked on data automation and analytics at Dusker Education.With a strong foundation in machine learning, deep learning, and software engineering, I have developed AI-driven solutions across speech processing, large-scale retrieval systems, multilingual NLP, and sentiment analysis. My expertise includes- Retrieval-Augmented Generation (RAG) & Generative AI – Building and optimizing retrieval-based LLM systems for contextual understanding, robustness, and efficiency- Machine Learning & Deep Learning – Designing, training, and evaluating models for NLP, speech processing, and predictive analytics- Vector Search & Scalable AI Architectures – Implementing efficient embedding-based retrieval systems and end-to-end AI pipelines- Software Development & Data Engineering – Proficient in Python, SQL, C/C++, and JavaScript, with hands-on experience using PyTorch, TensorFlow, FAISS, and modern LLM frameworks- Algorithmic Problem-Solving & Optimization – Strengthened through competitive programming, applied research, and real-world system debuggingMy work has been recognized through AI research competitions, open-source contributions, and technical challenges, particularly in speech AI, information retrieval, and scalable NLP systems. I have also qualified UGC NET in Computer Science, reflecting a strong grounding in core computing, algorithms, and AI fundamentals.I am motivated by problems that require both technical depth and thoughtful system design, especially where reliability, evaluation, and human–AI interaction matter.Let’s connect and explore opportunities in cutting-edge AI development and research.

Experience

1. Ai Consultant

   ixigo

   Nov 2025 — Present · Gurugram, IN

Education

• Deen Dayal Upadhyaya College

  Bachelor's degree, Computer Science

• St.Columba's School, New Delhi

  High School Diploma

• Delhi University

  Bachelor's degree, Computer Science

  2020 — 2023

• Department of Computer Science, University of Delhi

  Master of Science - MS, Computer Science