Tanveer Ahamed N

About Tanveer Ahamed N

I am a skilled AI and data science professional with hands-on experience in leveraging advanced technologies and tools to develop impactful solutions. My expertise includes:* Fine-tuning models like Llama, Gemma, and DeepSeek to achieve tailored results, with hands-on experience in LoRA and QLoRA fine-tuning for efficient model adaptation.* Practical experience running and experimenting with Llama and DeepSeek models.* Experience in building AI Agents using LangChain and related frameworks to automate workflows, interact with external tools/APIs, and perform reasoning-driven tasks.* Expertise in designing Retrieval-Augmented Generation (RAG) pipelines with LangChain,LangGraph enabling context-aware responses and domain-specific knowledge integration.* Experience in sentiment-based marketing (advertising) projects.* Expertise in time-series data analysis for load forecasting, including next-day electricity demand prediction (IEEX price) in 15-minute intervals.* Extensive experience in transformer-based models and Natural Language Processing (NLP) techniques.* Hands-on experience with speech-to-text, image-to-text, and video-to-keyframes conversion workflows.* Skilled in ElasticSearch, Kibana, PostgreSQL, and frameworks like Flask and FastAPI.* Proficient in Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Keras, PyTorch, TensorFlow, NLTK, OpenCV, MoviePy, PyTesseract, SpeechRecognition, PIL, Gensim, and SpaCy.* Experience in supervised machine learning algorithms, including regression, SVM, KNN, decision trees, random forests, boosting techniques (AdaBoost, Gradient Boosting, XGBoost), and hyperparameter optimization (Grid Search, Random Search).* Strong understanding of regularization techniques.* Solid foundation in deep learning, including artificial neural networks (ANN), convolutional neural networks (CNN), recurrent neural networks (RNN), LSTM, and advanced CNN architectures (VGG, AlexNet, LeNet, ResNet, Inception, DarkNet).* Experience in computer vision techniques like image pre-processing, segmentation, and object detection, including models based on YOLO architecture.* Expertise in feature engineering, including missing value treatment, outlier handling, data transformation, feature selection, and reshaping data with Python.

Experience

1. Technical Lead Ai

   HCLTech

   Feb 2026 — Present · Bengaluru, IN

Education

• S J M Institute of Technology

  Bachelor of Engineering - BE