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murkbyash/README.md

Hi there, I'm Ashish Uike πŸ‘‹

πŸš€ About Me

I'm a Technical Lead at HCLTech specializing in Machine Learning, Distributed Systems, and Backend Engineering. I build scalable automation systems and high-performance applications that solve real-world problems.

πŸŽ“ B.Tech in Mechanical Engineering from IIT Indore πŸ“ Based in Hyderabad, India
πŸ’Ό Currently working on ML-powered telecom billing automation and cloud infrastructure

πŸ› οΈ Tech Stack

Languages

Python C++ SQL

ML & AI

Scikit-Learn Pandas NumPy LangChain HuggingFace

Backend & Databases

FastAPI PostgreSQL Redis Oracle

DevOps & Tools

Docker Prometheus Grafana Git

πŸ’Ό Professional Experience

🏒 HCLTech | Technical Lead

Oct 2023 - Present | Hyderabad, India

Next Billing System (NBS) Automation

Machine Learning β€’ Python β€’ OracleDB β€’ Random Forest β€’ CatBoost β€’ SHAP

  • Engineered ML automation system for telecom billing to predict bill summary discrepancies, reducing customer complaints
  • Designed incremental learning pipeline processing 40+ lakh records monthly without full retraining
  • Optimized ensemble models with SHAP-based explainability for transparent mismatch detection
  • Integrated Python-based ML workflows with OracleDB for automated data extraction and validation

Adobe Tag Automation Platform

Python β€’ Jira API β€’ QTest API β€’ Google Sheets API β€’ Looker Studio

  • Automated Adobe Analytics tag validation with Python-based integration layer
  • Reduced manual testing effort by 60% using live Looker Studio dashboards
  • Developed rule-based validation scripts ensuring tag consistency across web applications

πŸ”₯ Featured Projects

Python β€’ LangChain β€’ FAISS β€’ HuggingFace β€’ Streamlit β€’ Ollama

Open-source RAG application for chatting with medical documents locally with zero data leakage

  • Modular backend using LangChain for document ingestion and conversational memory
  • FAISS vector database for similarity search with HuggingFace embeddings
  • Local LLMs (Phi3-mini/Llama3) via Ollama as private API alternative

FastAPI β€’ PostgreSQL β€’ Redis β€’ Redpanda β€’ Docker β€’ Prometheus β€’ Grafana

High-performance distributed URL shortening service with impressive metrics:

  • 1,094 requests/second with 98.80ms P99 latency
  • 100% cache hit rate with 2.7ms P50 latency using multi-layer Redis caching
  • 90% database load reduction during sustained testing (11,000+ requests)
  • Event-driven analytics pipeline using Redpanda (Kafka) with <2ms overhead
  • Observability stack with 10+ Grafana dashboards monitoring 13 containerized services

πŸ“Š Competitive Programming

  • πŸ† LeetCode: Max Rating 1601 | 650+ problems solved
  • πŸ₯ˆ InterviewBit: 300+ problems | Rank 13
  • πŸ₯‰ GeeksforGeeks: 350+ problems | Rank 21

πŸ“« Let's Connect!

LinkedIn GitHub Email


πŸ’‘ "Building scalable systems and ML solutions that make a difference"

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