Nanda Nandan Nanda

CTO

Bengaluru, Karnataka, India11 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Over 10 years of experience in ML and AI.
Proven track record in designing scalable ML models.
Contributed to patents and published research papers.

Stackforce AI infers this person is a Machine Learning and AI expert with a focus on innovative solutions across multiple industries.

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Skills

Core Skills

Machine LearningAi Solutions

Other Skills

Team LeadershipRAGLLMsfine-tuning modelsRoberta-basedynamic lighting effectsvideo privacyvideo instance segmentationmodel quantizationintelligent store analysisface recognitionANPRfacial verificationInnovative Research & Developmentemotion recognition

About

With over 10 years of hands-on experience in the realms of Machine Learning and Artificial Intelligence, I am passionate about leveraging data to develop transformative solutions across various industries, including Hi-Tech, Healthcare, Security, and Manufacturing. My journey has been marked by a commitment to ethical AI practices and a focus on delivering impactful data- driven insights that align with business objectives. As a Senior ML/AI Engineer, I have successfully managed and executed end-to-end deep learning projects, consistently driving innovation and operational excellence. My expertise spans deep learning, natural language processing, and computer vision, with a proven track record in designing and deploying scalable machine learning models. I thrive in cross-functional team environments, where I mentor junior engineers and foster collaborative relationships with stakeholders to translate complex requirements into actionable technical specifications. I take pride in my contributions to technology, evidenced by several patents and published research papers in the field. My technical proficiency extends to a wide range of tools and programming languages, including Python, SQL, and cloud platforms such as AWS, Azure, and GCP. I am excited to connect with like-minded professionals and explore opportunities to collaborate on projects that harness the power of AI to drive business growth and enhance user experiences.

Experience

11 yrs

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 11 mos

Current Experience

Intel corporation

AI COE Technical Specialist

Jun 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

During this tenure, I led custom code generation projects like CodeGen, Code Migration, and AIPC ChatQNA, focusing on optimizing
business inquiries with RAG and LLMs.
My role included training and fine-tuning Codellama 7b Instruct and Starcoder2 7b on Intel Gaudi2 with LoRA. Managed Fine-tuning
models such as Llama-3.1-b-Instruct and Phi-3-mini-Instruct for AIPC ChatQNA. Optimized models for Intel CPUs with OpenVINO and
enhancing Roberta-base for address correction. Built a RAG pipeline with LangChain, FAISS, and custom code generation. Developed
a multimodal RAG solution for Biz-RAG use cases.

machine learningTeam LeadershipAI Solutions

Samsung r&d institute india

Chief ML research engineer

May 2022 – Oct 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

As Chief Machine Learning/Artificial Intelligence Engineer, I led projects to create dynamic lighting effects (like the Tyndall effect),
secure user privacy during video calls, and improve camera preview and capture for authentic bokeh effects. Key achievements
include:
 Developing a lightweight, anchor-free custom video instance segmentation with reidentification model with human-like accuracy (98 IOU) and only 5M
parameters.
 Quantizing the model to INT8 for mobile, with successful deployment on devices via NNC and DLC.
 Fine-tuning Stable Diffusion 2.1 with LORA, InstructPix2Pix, and ControlNet for different effects.(POC)
 Optimizing VLM Paligemma-3b-pt-224 for interactive bokeh.(POC)

Team LeadershipAI Solutionsmachine learning

Jio

Deputy Manager(Machine Learning and Artificial Intelligence)

Mar 2020 – Nov 2023 · 3 yrs 8 mos · Mumbai, Maharashtra

As Lead Machine Learning/Artificial Intelligence Engineer, I led projects in intelligent store analysis, periocular recognition, ANPR,
and mask detection, focusing on tracking individuals, face recognition, and vehicle monitoring. Key contributions include:
 Developing people detection and tracking with YOLOv5 and DeepSORT.
 Creating algorithms for ROI marking, directional tracking, and blacklist alerts.
 Integrating periocular recognition with facial and mask detection.
 Designing an ANPR solution linked with driver facial verification.
 Achieving 94% accuracy in masked face recognition using a custom two-stage model and optimized NVIDIA Triton and
DeepStream integration.

Team LeadershipAI Solutionsmachine learning

Accenture

Artificial Intelligence Specialist

Feb 2019 – Mar 2020 · 1 yr 1 mo · Mumbai, Maharashtra, India

At Accenture, I led projects in real-time emotion recognition, speech biometrics, log clustering, complaint classification, and doctor-
patient conversation analysis. Key achievements include:
 Developing an attention-based LSTM for sentiment analysis and employing BERT for emotion recognition, achieving 70%
accuracy.
 Implementing speaker verification using triplet loss and LSTM-based diarization with UIS-RNN.
 Building a 3D RCNN model for speech sentiment analysis and clustering logs using agglomerative techniques.
 Creating and fine-tuning classification models, reaching 80% accuracy on large datasets, and integrating AWS, Google, and
IBM APIs for real-time analytics.

AI SolutionsInnovative Research & Developmentmachine learning

Tata consultancy services

Machine Learning Engineer

May 2015 – Feb 2019 · 3 yrs 9 mos · Pune Area, India

In my Cognitive Visual Learning project, I developed a solution to extract sensitive details like contract expiration dates from
scanned PDF images and categorize documents effectively. I used OpenCV and YOLO for table and object detection, customized blob
detection and Hough line transforms, and built Azure web jobs for cloud-based document validation. Leveraging Azure Vision API for
text extraction and a clustering model, I also collaborated on a predictive model for contract expiry dates.

AI SolutionsInnovative Research & Developmentmachine learning