Numpy, Git, Pandas, Python, Sql, scikit-learn

Node.js, Sql, React, Git, Flask, FastAPI, Rest Apis, Azure, Python, AWS, Docker fundamentals, Prompt engineering, GCP fundamentals, Vector databases, GenAI concepts, microservices concepts, Agentic AI, LLM APIs, CI CD concepts, SDKs, MCP fundamentals, GitHub fundamentals, RAG architectures

probability , Tensorflow, Git, Nlp, Pytorch, Docker, Predictive Modeling, Python, Kubernetes, Generative AI, fine-tuning, scikit-learn, LLMs, statistical learning, Mathematics, time-series forecasting, calculus, prompt engineering, model evaluation, Optimization, Statistics, Mathematical Modeling, linear algebra

Python, LLM fine-tuning, third-party APIs, prompt-based systems, ML tooling, RAG pipelines

Kafka, Tensorflow, Nlp, Pytorch, MLops, XGBoost, Spark, Python, graph analytics, scikit-learn, fraud-analytics, MLflow, anomaly detection, Flink, big-data tooling, Kubeflow, feature engineering, Fraud Detection, real-time inference, model monitoring

Pytorch, Python, attention mechanisms, tensor operations, transformer architectures, MLIR, profiling and optimizing workloads on GPUs or other AI accelerators

Java, Unit Testing, Python, code tuning, core AI ML techniques and algorithms, Profiling, time and space-efficient algorithms, OOP Design Patterns

Github, Pyspark, Pandas, Docker, Powerbi, Databricks, Helm, Python, Kubernetes, Data Modeling, Azure, Etl, ML-Ops

Numpy, Django, Git, Pandas, Docker, MySQL, PostgreSQL, Flask, FastAPI, Python, scikit-learn