AI Engineer | Data Engineering Specialist
7+ Years of Backend Experience | 3+ Years in Generative AI
This section highlights the most significant, quantifiable impacts delivered throughout my career, showcasing a commitment to efficiency, reliability, and performance.
Reduction in Data Processing Time
Improvement in ETL Pipeline Efficiency
Technical Issue Resolution Rate
This chart provides a comparative overview of my core competencies. It reflects a deep expertise in modern data and AI technologies, balanced with strong programming and DevOps foundations. The horizontal bars allow for easy comparison across different high-level skill domains.
Following a path of continuous growth, this timeline illustrates my professional journey from a reliability engineer to a specialized AI and Data Engineer, highlighting key roles and responsibilities over time.
West Advanced Technologies India Private Limited
August 2021 – Present
Led cloud migration, architected scalable ETL pipelines, and developed full-stack AI applications using Python, Azure, and Generative AI. Drove significant improvements in data processing speed and operational efficiency.
Macray Technologies Pvt. Ltd.
March 2016 – May 2020
Provided technical support for solar electrical components, using data analysis to identify system faults and improve component reliability, increasing operational efficiency by 25%.
GIET College of Engineering, Rajahmundry
Graduated: May 2015
This section presents a curated selection of my most impactful projects. Each card highlights a unique challenge and the innovative AI, data engineering, and automation solutions developed to address it, showcasing a practical application of my technical skills.
Full-Stack AI Automation
An AI-powered Flask app to automate HR resume analysis. Extracts structured data from DOCX, PDF, and scanned resumes using NLP and LLMs (Mistral), leveraging RAG with ChromaDB for hallucination-free skill matrix generation.
Tech Stack:
Flask, LLMs (Mistral), RAG, ChromaDB, Sentence Transformers
Surveillance/Narrative Automation
Generates timeline-based summaries from surveillance videos. Uses OpenCV for frame extraction, ViT-GPT2 for image captioning, Whisper for audio transcription, and Groq's LLaMA 3 for summarization.
Tech Stack:
Flask, OpenCV, ViT-GPT2, Whisper, Groq LLM
Personal Innovation Project
A fully autonomous pipeline using Google Gemini for content creation and MoviePy for video synthesis. Automates scriptwriting, voiceovers, thumbnail creation, and publishing via GitHub Actions CI/CD.
Tech Stack:
Google Gemini, MoviePy, gTTS, GitHub Actions
Python Script for Batch Processing
Developed a Python script using OpenCV to efficiently extract and organize frames from multiple video files. Features batch processing, configurable input/output paths via `.env`, and customizable frame rate control. Creates separate subfolders for each video's frames, ensuring organized output for further analysis or use.
Tech Stack:
Python, OpenCV, python-dotenv, MoviePy
This donut chart visualizes the frequency of core technologies used across the highlighted projects. It provides a quick, at-a-glance understanding of my primary technology ecosystem, emphasizing a strong focus on Python and Generative AI.