Niharika Reddy Kattekommula

Niharika Reddy Kattekommula

Software Engineer

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  • Timeline

  • About me

    AI Researcher at Pantheon Lab Limited | Generative AI | LLM Chatbot | Computer Vision | Face Synthesis

  • Education

    • The Hong Kong University of Science and Technology

      2020 - 2021
      Master of Science - MS Big Data technology GPA: 4.0; Academic Achievement Medal
    • JNTUH College of Engineering Hyderabad

      2014 - 2018
      Bachelor of Technology - BTech Electronics and Communications Engineering
  • Experience

    • Optum Global Solutions

      Jul 2018 - Jan 2020
      Software Engineer

      As a Software Engineer at Optum, United Health Group, I gained valuable expertise in PEGA platform and Agile development methodologies. During my tenure, I successfully developed and implemented multiple features for a healthcare platform and gained experience in automated testing, scripting over 50% of total stories. My exceptional performance, commitment to quality, and collaborative approach were consistently recognized through awards from product owners and senior management.

    • Pantheon Lab Limited

      Jun 2021 - now

      As an AI Researcher at Pantheon Lab Limited, I specialize in digital human generation and dialogue-based Chatbots, leveraging cutting-edge techniques and technologies. My expertise includes:Chatbot: Developed a LLM dialogue-based chatbot, utilizing various natural language processing (NLP) and natural language understanding (NLU) techniques to extract relevant information and media from a knowledge base.Slogan Generation: Created a slogan generator based on LLM, generating impactful slogans for products and organizations by analyzing functionality and features.Image Generation and Filtering: Fine-tuned diffusion models and developed a robust pipeline for generating and filtering custom images, ensuring consistent and high-quality results.Face Synthesis: Fine-tuned a state-of-the-art GAN-based face synthesis model specifically designed for Asian faces, enabling the generation of realistic and diverse facial images.Face Image Categorization: Developed a pipeline for categorizing face images based on age, race, and gender, facilitating efficient analysis and classification.Skin Detection and Tone Transfer: Implemented methods for skin detection and skin tone transfer using segmentation, fine-tuning, and color space mapping techniques, enabling advanced image manipulation capabilities.Through these projects, I have honed my skills in advanced AI techniques and technologies, enabling me to contribute effectively to complex and innovative solutions in the field of AI research and development. Show less

      • AI Researcher

        Apr 2022 - now
      • AI Developer Intern

        Jun 2021 - Mar 2022
  • Licenses & Certifications