
AI/ML Engineer specializing in Generative and Agentic AI, focused on delivering intelligent automated solutions for complex business challenges. Expertise in designing scalable AI frameworks that optimize operations and enhance decision-making, resulting in measurable business impact. Currently advancing research in multimodal systems to develop adaptable, enterprise-grade intelligence.
Data Preprocessing & Feature Engineering
Python, PySpark, Pandas, NumPy, SQL, Airflow, Prefect, Scikit-learn Pipelines, Featuretools
Machine Learning
Scikit-learn, XGBoost, LightGBM, CatBoost, SHAP, LIME, Optuna
Deep Learning
PyTorch, TensorFlow, Keras, Hugging Face Transformers
Time-Series Forecasting
Prophet, N-BEATS, PatchTST, TimesNet, TiDE, ARIMA
Generative & Agentic AI
Fine-Tuning & Adaptation
LoRA, QLoRA, PEFT, SFT, DPO, PPO, TRL, Axolotl
Vector Databases & Retrieval Systems
FAISS, Qdrant, Pinecone, ChromaDB
Knowledge Graphs
Neo4j, NetworkX
Multimodal Systems & Cross-Domain AI
CLIP, BLIP-2, LLaVA, Whisper
Orchestration & MLOps
Docker, Kubernetes, MLflow, Airflow, Ray, Jenkins, GitHub Actions, FastAPI
Cloud & Deployment
AWS (Bedrock, SageMaker, Lambda, EC2, ECS, S3), Azure ML, GCP Vertex AI
Visualization & Front-End Integration
Plotly, Tableau, Streamlit, Gradio, React, Nextjs, TypeScript, Redux
Deep Learning Specialization - DeepLearning.AI
TensorFlow Developer Certification - DeepLearning.AI
Building RAG Agents with LLMs - NVIDIA
Rapid Application Development with Large Language Models (LLMs) - NVIDIA
Introduction to Transformer-Based Natural Language Processing -NVIDIA