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AI Research Engineer with less than a year in Machine Learning & Data Analysis
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Assessing your cultural and operational fit
As an aspiring AI Research Engineer with nearly a year of hands-on experience, I have developed and optimized AI/ML models for disease detection, predictive analytics, and real-time object detection. My expertise spans building machine learning pipelines, integrating AI-driven automation, and conducting in-depth data analysis to uncover insights and improve operational efficiency. I am proficient in Python, various ML frameworks, SQL, and data visualization tools, consistently delivering data-driven solutions and contributing to technical documentation.
Sanskriti University
BCA · Artificial intelligence & Data Science
August 1, 2022 – May 1, 2025
Rudra Research Work Education PVT LTD
Technical Support Specialist / Research Analyst
September 1, 2025 – January 1, 2026
Mathura, Uttar Pradesh, India
To - Let Globe PVT LTD
Data Analyst Intern
August 1, 2024 – November 1, 2024
India
Real-Time Vehicle Detection from UAV Aerial Images
February 1, 2025 – February 1, 2025
Designed a real-time vehicle detection system using an improved YOLOV5-VTO model, optimized for detecting small and overlapping vehicles in aerial images. Enhanced baseline YOLOv5 with BiFPN, Soft-NMS, and a P2 prediction head, improving detection of tiny objects. Utilized Python, PyTorch, OpenCV, and Augmentations for full pipeline development and performance tuning.
Financial Performance Analysis Dashboard
August 1, 2024 – August 1, 2024
Created an interactive Power BI dashboard to track revenue, operational costs, profit margins, and monthly cash flow. Processed and cleaned financial data using Python and SQL to perform variance analysis and trend forecasting.
TATA Data Analytics Certificate – Data Visualization: Empowering Business with Effective Insights
TATA Data Analytics
June 1, 2026 – Present
Oracle Cloude Infrastructure 2023 - Certified Foundations Associate
Oracle
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects and experience show a diverse application of AI/ML skills, from computer vision to financial analysis and predictive modeling. This breadth indicates adaptability and a willingness to tackle different problem domains. The target role of 'AI Research Engineer' aligns well with their demonstrated interest in both research (disease detection, prompt engineering) and engineering (pipeline optimization, model deployment). The blend of academic coursework and practical application suggests a good cultural fit for a role that requires both theoretical understanding and practical implementation.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI/ML techniques, as evidenced by their project work and experience. Their ability to contribute to research documentation suggests good analytical and communication skills in a technical context. The internship experience shows an ability to work with real-world data and deliver actionable insights, which is crucial for operational fit in an AI Research Engineer role.