Summary
Overview
Work History
Education
Skills
Accomplishments
Personal Information
Timeline
Generic
KRISHNA RAO KAKKIRALA

KRISHNA RAO KAKKIRALA

GenAI | Agentic AI
Hyderabad

Summary

16+ years in AI/ML development, with 8+ years leading high-impact projects and cross-functional teams. Expertise: Developing scalable AI solutions in Computer Vision, NLP, IoT data processing, Machine Learning, Deep Learning, and Generative AI (LLMs & AI Agents) while optimizing models for efficiency and performance. AI Architecture & Deployment: Designing cloud-native AI solutions on Azure, AWS, and GCP, integrating LLM frameworks (LangChain, LlamaIndex) for seamless deployment. Leadership & Innovation: Driving AI research, patents, and publications while mentoring teams and ensuring MLOps best practices for continuous model improvement. Business Impact: Enhancing strategy through Predictive Modeling, Data Science, and AI-driven analytics, fostering strong stakeholder collaboration for transformative AI solutions.

Overview

17
17
years of professional experience
2008
2008
years of post-secondary education
2
2
Languages

Work History

Associate Research Scientist (Sr. Lead and Developer)

Toshiba
12.2018 - 02.2025
  • Developing a Financial AI Agent to retrieve relevant insights from extensive financial documents based on user queries. Overcoming challenges like extracting structured data from tables for accurate interpretation and contextual relevance.
  • Developing a Video Analytics Agent for the advertisement industry using CLIP ViT model, Claude, PyTesseract, Deepgram, and Transline.
  • Developing a Database AI Agent that processes text-based queries to interact with databases like SQLite, MySQL, and PostgreSQL, retrieving relevant data and presenting output in an easy-to-understand visual format.
  • Developing an Expense AI Agent leveraging OCRs and LLMs to extract desired information from scanned documents.
  • Led the development of a Chatbot using Deep Learning and Generative AI techniques, enhancing user interaction and support.
  • Extracted text from images using OCR algorithms (Tesseract, EasyOCR, Llamaparse) and applied Natural Language Processing (NLP) methods to populate fields in forms.
  • Developed Text Extraction Methodologies to extract relevant text from specification documents based on specific queries, increasing data accessibility.
  • Extracted PDF Data including text, tables, and figures for use in LLMs and Retrieval-Augmented Generation (RAG) systems, enhancing query responses.
  • Led the successful AI Integration of advanced language models to develop cutting-edge AI solutions, utilizing frameworks such as LlamaIndex.
  • Successfully led a team of up to 14 members, actively contributing to various data science and machine learning projects.
  • Generated Synthetic Defective Integrated Circuit (IC) images using CycleGAN and StyleGAN, facilitating model training and anomaly detection. Also experimented with diffusion models such as ControlNets.
  • Developed a project to generate VLSI chip thermal images with different faults using Flux model and LoRA fine-tuning.
  • Designed and developed methods for segmenting grain regions and determining sizes in steel images using Mask R-CNN and image processing techniques.
  • Introduced incremental learning, YOLO, and machine learning techniques for segmenting and classifying crimp images.
  • Built robust classification algorithms for datasets with mislabeled and highly imbalanced data using CNNs and Vision Transformers (ViTs).
  • Identified anomaly regions in images using weakly supervised and unsupervised learning techniques, including SPADE+, GCPF, and IFNET.
  • Implemented Medical Image Processing algorithms for tasks such as measuring patient dimensions over CT scan couches and deploying these solutions.
  • Developed Anomaly Detection Algorithms based on Acoustic Emission (AE) signals using Wavelets and Statistical features, improving defect detection accuracy.
  • Evaluated and identified effective tuning parameters using HyperOpt, optimizing model performance.
  • Developed deep learning model compaction using AiP-based methods and OpenVino, achieving a 50% reduction in model size.
  • Specialized in Zero-shot learning, unsupervised learning, weakly supervised learning, supervised learning, and incremental learning.
  • Deployed data-driven solutions using advanced Machine Learning, Deep Learning, and AI technologies.
  • Formulated comprehensive reports and dashboards to present data insights and project outcomes.

Researcher

TCS Innovation Labs, Tata Consultancy Services
07.2008 - 11.2018
  • Designed & developed Robust watermarking algorithms to protect the copyrights of videos and speech books.
  • These algorithms are developed in C++, OpenCV.
  • Which are invariant to various kinds of distortions.
  • Robust Face Recognition Algorithm to recognize cab drivers by utilizing Computer Vision and Machine Learning Algorithms.
  • The algorithm is robust against occlusions, partial faces.
  • Cross-Model (Thermal to Visible) Face Recognition Algorithm using Deep Learning.
  • Visual Target Tracking Algorithms using Deep Learning for Drone surveillance.
  • Biometric Template Protection Algorithm using Deep Learning.
  • Achieved automatic masking of fields for scanned documents to protect privacy of a customer using computer vision and machine learning algorithms.
  • Take care of GDPR guidelines.
  • Sequence prediction of Visual-IQ Questions via Deep Learning.
  • Automatic answering a natural language question against a video using Deep Learning for surveillance video applications.
  • Image watermarking to automatically extract expiry information when images are posted on websites.
  • Invisible watermark.
  • Robust against compression.
  • Every day, the application automatically tracks all the images posted on websites and checks expiry data to know whether it meets terms or not.
  • Discard images from publish if image meets its contract end date.

Education

M.E. - Communication Systems

PSG Technology
Coimbatore, Tamil Nadu

B.Tech. - Electronics & Communication Engineering

Jawaharlal Nehru Technological University (AGCET)
Tadepalligudem, A.P.

Skills

Collaborator

Accomplishments

  • Merit of granted 18 Patents in (TCS, Toshiba) (US, Japan, India)
  • Conferred with: Best Paper Award from TCS Tactics in 2011
  • Best Innovation Award from TCS Innovista in 2017
  • Successfully selected two innovative ideas for the Toshiba Ideathon 2024

Personal Information

Date of Birth: 07/12/83

Timeline

Associate Research Scientist (Sr. Lead and Developer)

Toshiba
12.2018 - 02.2025

Researcher

TCS Innovation Labs, Tata Consultancy Services
07.2008 - 11.2018

B.Tech. - Electronics & Communication Engineering

Jawaharlal Nehru Technological University (AGCET)

M.E. - Communication Systems

PSG Technology

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KRISHNA RAO KAKKIRALAGenAI | Agentic AI