About
I’m an Electrical & Electronics Engineering graduate and aspiring Data Engineer passionate about building data-driven systems, backend applications, and AI-powered solutions that solve real-world problems. My journey started with programming and backend development and gradually evolved toward Data Engineering, Big Data, Cloud, and AI. I enjoy understanding how raw data moves through a system—from collection and processing to transformation, storage, analytics, and finally powering intelligent applications. 🔹 What I work with • Python, Java & SQL • Data Engineering & ETL/ELT pipelines • Pandas, PySpark & Big Data concepts • MySQL & data warehousing fundamentals • AWS, Azure & cloud data technologies • Databricks & Microsoft Power BI • FastAPI & backend development • REST APIs & application integration • AI/ML workflows, LLMs & RAG concepts • Git, GitHub & Linux 🔹 Hands-on experience During my Data Processing internship, I worked with large-scale image and sensor datasets for AI-powered robotic systems. I built Python-based ETL workflows for cleaning, transforming, and validating data, helping improve processing efficiency and data quality. I have also worked on projects such as Dark Pattern Buster, where I contributed from the data engineering side by building web-scraping and ETL pipelines, transforming raw data into structured Parquet datasets, and supporting an AI-based classification workflow. The project also involved BERT, FastAPI and Streamlit. I’m currently expanding my knowledge in modern Data Engineering and AI engineering, with a focus on: → Building scalable data pipelines → Advanced SQL and data modeling → PySpark and distributed processing → Cloud data platforms → Data warehouses and lakehouse architecture → Databricks and modern data stacks → AI/LLM applications, RAG and intelligent data workflows → Backend systems and API development I believe the best way to learn engineering is to build real projects, understand the underlying systems, and continuously improve them. 🎯 My goal: To start my career as a Data Engineer / Data & Backend Engineer, contribute to production systems, and grow toward building scalable data and AI platforms. I’m always open to connecting with Data Engineers, Backend Engineers, AI Engineers, recruiters, and technology professionals who are building interesting products and solving meaningful problems. 📌 GitHub: github.com/Lakshmipathyakash 📌 LinkedIn: linkedin.com/in/lakshmipathy-ramesh
Work experience
Data Processing Specialist at Asyncronix, Jan 2025 - Jul 2025 · 7 mos, Tiruvallur, • Processed large-scale image and sensor data for an AI-powered robotic leg project, managing multi-modal datasets. • Built automated ETL pipelines in Python, achieving a 40% reduction in data processing time. • Conducted exploratory analysis on time-series sensor data to identify patterns for reinforcement learning model training. • Developed data validation scripts, ensuring 99% accuracy for model training workflows.
