Naman Pandey

Lead ML Engineer

Noida, Uttar Pradesh, India6 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Over 6 years of AI experience driving innovation.
  • Expertise in Generative AI and LLM technologies.
  • Proven leadership in AI R&D at Samsung.
Stackforce AI infers this person is a skilled AI professional specializing in machine learning and generative AI solutions.

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Skills

Core Skills

Machine LearningDeep LearningGenerative AiComputer VisionConversational AiAutomation

Other Skills

AWSAWS LambdaAlgorithm DesignAlgorithm DevelopmentAlgorithmsAmazon Web Services (AWS)Artificial IntelligenceAutomation PipelineCNNChatGPTChatbot DevelopmentCloud ComputingConsultingConvolutional Neural Networks (CNN)Cost Optimization

About

A results-driven AI professional with over 6 years of experience driving innovation across Machine Learning, Deep Learning, and Generative AI. I hold a Master’s degree and bring a strong blend of technical expertise, product thinking, and leadership experience. Currently leading AI R&D at Samsung, focusing on sensor intelligence, human activity recognition, and conversational AI. My work sits at the intersection of research and product, where I guide a high-performing team (from top institutes) to build scalable, intelligent solutions. Key Areas of Expertise: • Broad AI skillset spanning LLMs, NLP, Computer Vision, Sensor Intelligence, and Predictive Modeling • Deep understanding of classical ML and DL techniques for forecasting, segmentation, classification, and sequence modeling • Generative AI expertise including RAG architectures, LoRA fine-tuning, transformer models, and prompt engineering • Strong foundation in algorithm design and model optimization for efficient, production-grade performance • Experienced in leading teams, defining AI strategy, and delivering high-impact solutions Tech Stack and Tools: Python | PyTorch | TensorFlow | Transformers | LLM | LangChain | HuggingFace | Generative AI | XGBoost | LightGBM | AWS | Vector DB | Sensor Data | Time Series | CNN | RNN | LSTM Open to: • Lead AI Engineer / Senior AI Engineer / Applied AI roles in product-based companies (e.g., NVIDIA, Apple, Google DeepMind, OpenAI, Tesla, Intel, Adobe) • Opportunities where AI drives core product value and strategic differentiation • Immediate or short-notice availability

Experience

6 yrs 6 mos
Total Experience
2 yrs 3 mos
Average Tenure
1 yr 11 mos
Current Experience

Samsung electronics

Lead AI/ML Engineer

May 2024Present · 1 yr 11 mos · Noida · Hybrid

  • 1. Artificial Intelligence intelligence based Algorithm Development on sensor data (Accelerometer, Gyroscope, Heart Rate etc)
  • 2. Spearhead AI projects (ML/DL) from initial data collection through processing, modelling, and
  • deployment on Samsung devices with 30% reduction in model size.
  • 3. Led development of an Agentic Generative AI solution. (RAG, VectorDB, LLM)
  • 4. Manage cross-functional teams and ensure successful project delivery within deadlines.
  • 5. Prominent Projects:Worked on Exercise detection, Gesture Detection, Health Chatbot
  • 6. Deep learning Techniques Utilised: RNN, LSTM, Encoder-Decoder (Transformers), CNN
  • Machine Learning Techniques Utilised: Random Forest, XGBoost, LLM, Gen AI
Artificial IntelligenceMachine LearningDeep LearningGenerative AISensor IntelligenceHuman Activity Recognition+4

Accenture

Data Scientist

Jul 2021May 2024 · 2 yrs 10 mos · Gurugram, Haryana, India · Remote

  • 1. Building machine learning and deep learning solutions.
  • 2. Fine Tuning and development of LLM model for RAG based chatbot
  • 3. Developing Retail Gen AI LLM Chatbots.
  • 4. Creation of automation pipeline for machine learning models
  • 5. Researching and developing data science solutions.
  • 6. Price Optimisation, customer segmentation, Image recognition, computer vision
  • 7. Deploying model on cloud using AWS, Kubernetes, docker
Machine LearningDeep LearningLLMChatbot DevelopmentAutomation PipelineAWS+2

Adglobal360

Data Scientist

Oct 2019Jul 2021 · 1 yr 9 mos · Gurugram, Haryana, India · Remote

  • 1. Providing effective and reliable decision-making and predictive insights using machine learning/ deep learning models.
  • 2. Provide 'cost optimization' solutions by building analytical Data Science Models.
  • 3. Building AWS data pipeline (Lambda function, dynamo DB, firehose)
  • 4. Maintain database by setting and enforcing standards and controls.
  • 5. Present key findings to internal and external stakeholder
Machine LearningDeep LearningData Science ModelsAWSCost Optimization

Fiserv

Data Analyst intern

May 2016Jul 2016 · 2 mos · Noida, Uttar Pradesh, India

  • Executing SQL queries.
  • Performing primal Data Analysis.
  • Enhancing job knowledge by reading research papers and documentation.
SQLData Analysis

Education

Great Lakes Institute of Management

Data Science and Engineering — Artificial Intelligence

Jan 2019Jan 2019

Gautam Buddha University

Master of Business Administration (MBA)

Jan 2017Jan 2018

Gautam Buddha University

Bachelor’s Degree — Computer Engineering

Jan 2013Jan 2017

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