Dr. Sai Pradeep Chakka

About Me

I bring over 8 years of research and industry experience in Artificial Intelligence. Currently leading a diverse team, I work on state-of-the-art technologies including GenAI, NLP, CV, Time-series, TinyML, and Knowledge Graphs. I have authored 10+ white papers, published 20+ peer reviewed papers and presented at top-tier conferences such as ECCV, ISBI, EMBC, ICASSP, etc.

Key Projects

Wafer Defect Analysis: CNNs, GNNs, RNNs, Transformers with XAI for root-cause analysis.
Driver Monitoring System: Real-time action recognition and 3D geometry analysis.
Generative AI: Table detection, image-to-excel conversion, diffusion models and RAG.
Surgical Video Analysis: Temporal gesture segmentation and skill assessment.

Talks & Recognition

Awarded "Across and Beyond Award" at Toshiba Software India Pvt Ltd for "Design and Execution of GIT AI Course" (April 2025).
Delivered tech-talks on “Explainable AI” (Apr 2022) and “AI in Semiconductor Ecosystem” (Feb 2025).
PhD awarded for research in Smart Healthcare at IIIT Bangalore (July 2023).
Invited Speaker – IIT Kharagpur, UpSkill:EnMed 2023.
Gold Medalist – M.Tech. in CSP, Amrita Vishwa Vidyapeetham, Coimbatore (2018).
Reviewer – ICASSP (2024, 2025), IJCNN (2025), ICVGIP (2024), Elsevier ESWA (2023–2025).

Publications

View all my publications on Google Scholar.

Industrial Research Experience

Toshiba Software India Pvt Ltd – Bangalore, India (Oct 2017-Present)

Industry 4.0: Automation, wafer analysis, time-series yield prediction, pose/keypoint detection.
GenAI: Diffusion models, document analysis, image-to-excel, RAG, LLMs, QnA bots.
ADAS: Driver monitoring, action recognition, traffic systems, perspective geometry.
Edge AI: Deployment on MCU (STM32), Visconti4/5, Nvidia Jetson AGX.
Tech Talks: “Explainable AI”, “VLSI + AI Integration”.
White Papers:
- T3DNet – Tensor-Train Decomposition (2024)
- Wafer Defect RCA with GNNs & XAI (2024)
- Predictive Maintenance – NASA Engine Case (2023)
- XAI for Image Data – Survey (2023)
- Scene Text Detection + Super-Resolution (2023)
- Wafer Defect Classifier (SEM Images) (2022)
- Driver Action Recognition – Encoder-Decoder CNNs (2021)
- 3D Geometry-based Attention Estimation (2020)
- Traffic Light Recognition via Color Learning (2020)
- AI Review (2018)

Cognizant Technology Solutions – Hyderabad, India (Oct 2013- Feb 2015)

Managed database and supported insurance renewals for United Health Group.

Academic Research Experience

IIIT Bangalore – India (Aug 2018- July 2023)

Surgical AI: Skill assessment, Phase-tool detection, multi-task learning, PPE detection, CAMs, contrastive learning.
Astronomy: Black hole GRS 1915+105 analysis via time-series, AEs and KL divergence.
fMRI: Detection of MCI, recurrence plots, community segmentation.

CSIR – National Aerospace Laboratories – Bangalore, India (July 2017- Sep 2017)

Radar Imaging: BGISAR, non-cooperative target recognition, GPS signal-based imaging.

Amrita Vishwa Vidyapeetham – Coimbatore, India (Jan 2017- June 2017)

Wireless Security: Secret Key Capacity in MIMO-OFDM, estimation errors, eavesdropping defense.

Contact

📧 saipradeep.chakka@outlook.com

📍 Bengaluru, India