Ishwar Jangid ishwar6

👋 Hey, I'm Ishwar Jangid

🚀 Backend Developer | AI/ML Enthusiast | Data Engineer | Maths
🎯 Passionate about AI, Deep Learning, Data Engineering, and Cloud Computing.

🖥 Backend & DevOps Engineer with expertise in building scalable systems.
🎥 YouTube Channel: Ishwar Jangid – Making Django, AI, ML, and Cloud easy to learn.
🧠 Deeply interested in Transformers, AI/ML, Data Engineering, Airflow, Redshift, and Deep Learning.
💡 Experienced in designing high-performance distributed systems and data pipelines.
🔥 Certified AWS Solutions Architect and working on advanced AI & ML applications.

Developed and optimized data ingestion pipelines from Facebook Ads and Google Ads APIs.
Managed PostgreSQL database, ensuring efficient indexing and query optimization.
Built REST APIs using Flask to support data retrieval and platform interactions.
Designed a data visualization platform to analyze and optimize marketing spend.

Implemented Airbyte and Apache Airflow workflows to streamline Shopify data ingestion into Snowflake.
Developed complex SQL stored procedures for efficient data transformations.
Designed Python-based ETL pipelines to handle high-volume e-commerce data.

Led the backend engineering team, overseeing multiple microservices.
Architected the Notification Service using Django, Celery, and Kafka.
Developed high-performance API services using FastAPI and Django with PostgreSQL.
Designed the Stats Service leveraging Kafka Connect and Google BigQuery for real-time analytics.
Managed EKS deployments, CI/CD pipelines with Jenkins, and Terraform-based infrastructure automation.

Developed backend services integrating Twilio for communications and OpenAI for AI-driven legal assistance.
Built a transcription system to enhance client query processing.
Managed Azure cloud infrastructure, ensuring scalability and cost efficiency.

Engineered data processing pipelines on Google Databricks for large-scale healthcare analytics.
Worked extensively with Google APIs, Python, and authentication protocols to ensure secure data access.
Developed gRPC-based integrations to enhance interoperability within CVS Health's data ecosystem.

Programming: Python (Django, FastAPI, Flask)
Database: PostgreSQL, MySQL, Redis, MongoDB
Cloud & DevOps: AWS (EC2, Lambda, S3, RDS, Redshift), Docker, Kubernetes, Terraform
CI/CD & Infra: GitHub Actions, Jenkins, Ansible

Machine Learning: Scikit-learn, XGBoost, CatBoost, LightGBM
Deep Learning: TensorFlow, PyTorch, Hugging Face Transformers
Data Engineering: Apache Airflow, Apache Spark, Redshift, Snowflake, Dataproc, BigQuery
NLP & LLMs: GPT models, LangChain, RAG models, Vector Databases (Weaviate, FAISS)
System Design & Optimization: Scalable Databases, Distributed Caching, Event-Driven Architectures