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DaanishSharma/README.md

Hi, I'm Daanish Sharma 👋

AI/Data Engineer focused on building production-grade LLM systems, agentic pipelines, and scalable data infrastructure. Currently at TELUS Digital AI, previously at Tredence Inc.

📍 India  |  📧 [email protected]  |  LinkedIn


🚀 What I'm working on

  • LangGraph-based agentic pipelines for large-scale conversational audio analysis (400K+ hours, deployed to production)
  • RAG pipelines with PGVector, Pinecone, and FAISS for semantic search over unstructured data
  • Distributed systems — horizontal scaling with Postgres advisory locks, orchestrated via Kubernetes
  • Human-in-the-loop data pipelines for LLM fine-tuning (SFT, RLHF) across audio, vision, and language

💼 Experience

Solutions Engineer — TELUS Digital AI (Playment) (Nov 2024 – Present) LangGraph agents · RAG · LangChain · OpenAI SDK · Kubernetes · PGVector · Prompt Engineering · RLHF · SFT

Software Engineer — Tredence Inc. (Jun 2023 – Nov 2024) PySpark · Azure Databricks · Azure Data Factory · Terraform · Docker · Data Quality & Observability

SDE Intern — Samsung SDS (Mar 2023 – Jun 2023) Java Spring Boot · React · MySQL · Agile · cleared Samsung Advanced Software Test (DSA)


🛠️ Tech Stack

Area Tools
AI / LLM LangChain, LangGraph, OpenAI SDK, RAG, Vector Search, RLHF, SFT
Data PySpark, SQL, Pandas, NumPy, Databricks, MLflow
Databases PostgreSQL, PGVector, Pinecone, FAISS, Weaviate, MySQL
Cloud & DevOps Azure, AWS, Kubernetes, Docker, Terraform, Airflow, Git
ML PyTorch, scikit-learn, OpenCV
Languages Python, C/C++, JavaScript

📂 Featured Projects

Micrograd — Neural Network from Scratch Built a scalar-valued autograd engine with reverse-mode automatic differentiation from first principles; trained an MLP on MNIST.

Game Playing AIs Implemented Minimax, A* search, Q-Learning, and backtracking agents across multiple game environments.


🎓 Education & Certifications

  • B.E. Computer Engineering — Thapar Institute of Engineering & Technology (2019–2023) · CGPA: 8.29
  • Databricks Certified Data Engineer Associate — Issued Oct 2023

Always open to interesting problems in AI infrastructure, agentic systems, and data engineering. Let's connect!

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