Danish F.

Full Stack GenAI | Data Analytics | Big Data | Python | DevOps | BI I'm a Full Stack Engineer and Data Specialist with hands-on experience building end-to-end platforms that blend intelligent automation, scalable analytics, and modern data infrastructure. I work across the full spectrum—from backend logic and APIs to frontend dashboards, with a deep focus on large-scale data pipelines, orchestration, and deployment in production. 🔹 Full Stack GenAI Development LangChain, LlamaIndex – for integrating and orchestrating LLMs with structured/unstructured data, memory, and tool use. Hugging Face Transformers – for fine-tuning and deploying custom language models. OpenAI, Cohere, Anthropic APIs – for conversational agents, summarization, Q&A systems. FastAPI, Flask – backend APIs serving GenAI models with async support. React, Next.js, Tailwind – interactive, responsive frontend apps integrating chat interfaces and dynamic UIs. Vector DBs (FAISS, Pinecone, Weaviate, Qdrant) – semantic search and document embeddings for GenAI apps. 🔹 Data Analytics & BI Pandas, NumPy, Polars – for large-scale data manipulation and statistical analysis. Matplotlib, Seaborn, Plotly – for visual exploration and custom reports. Power BI, Tableau, Looker, Metabase – dashboard development, business reporting, real-time data visualization. SQL (PostgreSQL, BigQuery, Snowflake) – data wrangling, transformation logic, materialized views for dashboards. 🔹 Big Data Engineering Apache Spark, PySpark – large-scale distributed computing, ETL workflows, and in-memory transformations. Kafka, Pulsar – real-time stream processing pipelines. Airflow, Prefect – DAG-based orchestration and scheduling for complex pipelines. Delta Lake, Iceberg – ACID-compliant storage layers on top of data lakes. 🔹 DevOps & MLOps Docker, Kubernetes – containerized environments, auto-scaling, and workload distribution. Terraform, Helm, ArgoCD – infrastructure as code and GitOps workflows. Jenkins, GitHub Actions, CircleCI – CI/CD pipelines for app and model deployment. MLflow, Weights & Biases, DVC – model versioning, tracking, and reproducibility. 🔹 Python Programming Core Python (3.x) – for scripting, APIs, automation, data science workflows. Asyncio, FastAPI – high-performance async programming for API-heavy applications. Typer, Click – building production-ready command-line tools for data teams. Pydantic, Marshmallow – data validation and serialization in data pipelines. 🔹 Cloud & Data Infrastructure AWS (S3, EC2, Lambda, RDS, Glue, SageMaker) – serverless computing, storage, scalable analytics. GCP (BigQuery, Cloud Functions, Vertex AI, Dataflow) – ML model hosting and real-time analytics. Azure (Data Factory, Synapse Analytics, AKS) – enterprise-grade pipelines and analytics.. Looking forward to working with you. 𝐃𝐚𝐧𝐢𝐬𝐡 𝐅𝐚𝐫𝐨𝐨𝐪.