AI Engineer with 2+ years in Machine Learning & Generative AI
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AI/ML professional with 2 years of experience in data validation, SQL analytics, and APIs, transitioning into AI/ML Engineer. Skilled in Machine Learning, Deep Learning, NLP, Computer Vision, LLMs, RAG, and Prompt Engineering through hands-on projects and research.
ABES Engineering College
B.Tech · IT
August 1, 2020 – June 30, 2024
RD Solutions
Software Quality Assurance Engineer
April 1, 2024 – Present
Noida, Uttar Pradesh, India
Pneumonia Detection from X-Rays
June 1, 2026 – June 1, 2026
Built a deep learning model using ResNet-based transfer learning for pneumonia detection from chest X-ray images. Improved model performance through hyperparameter tuning and class imbalance handling, evaluated using ROC-AUC and Recall.
View ProjectAgentic RAG Document Assistant
June 1, 2026 – June 1, 2026
Built an AI-powered document assistant using RAG, hybrid retrieval (BM25 + Vector Search), and ChromaDB for accurate question answering. Developed LangGraph-based agent workflows for document Q&A, summarization, and web search using LLMs.
View ProjectReal-Time Traffic Analytics System
June 1, 2026 – June 1, 2026
Developed a computer vision system for vehicle detection, tracking, and speed estimation using YOLOv8 and DeepSORT. Implemented overspeed violation detection and real-time traffic analytics through a Streamlit dashboard.
View Project1st Rank Winner: PW Skills National Machine Learning Hackathon
PW Skills
June 1, 2026 – Present
RD Shine Award
RD Solutions
June 1, 2026 – Present
Pat on the Back Award
RD Solutions
June 1, 2026 – Present
Sentiment Analysis of E-Commerce
SSRN
January 1, 2025 – Present
Robot Teacher Named Iris
SSRN
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including medical imaging, traffic analytics, and agentic RAG systems, shows a broad interest and ability to apply AI/ML across different domains. The hackathon win and corporate awards indicate a drive for excellence and recognition. The transition from SQA to AI/ML engineer aligns with a growth mindset and a clear career trajectory towards the target role.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving and adaptability through project work and a hackathon win. The current SQA role involves mentoring and presenting insights, indicating potential for collaboration and communication within a team. The project descriptions are clear and concise, suggesting good written communication.