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AI Engineer with less than a year in Python, Machine Learning, and Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Prashik Sanjay Lanje is an aspiring AI Engineer graduating in May 2026 with a Bachelor of Technology in Computer Science and Engineering. He possesses strong technical skills in Python, SQL, C++, Machine Learning, Deep Learning, and Computer Vision. His projects include developing an E-Commerce Business Performance Dashboard, a Drowsiness Detection System, and an Agentic AI Healthcare Monitoring System. He has also contributed to research in improving GANs for audio generation.
Visvesvaraya National Institute of Technology, Nagpur
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2026
Drowsiness Detection System
January 1, 2026 – Present
Built a real-time driver monitoring system that analyzes eye movements using OpenCV to identify signs of drowsiness. Trained a CNN-based classification model to distinguish between alert and drowsy eye states for improved prediction accuracy. Implemented an alert mechanism that triggers warnings during fatigue detection to enhance road safety and prevent accidents.
View ProjectE-Commerce Business Performance Dashboard
January 1, 2026 – Present
Customized an interactive Power BI dashboard for analyzing e-commerce sales, profitability, customer behavior, and payment trends. Created KPI cards, slicers, and DAX measures to generate actionable business insights. Performed data transformation using Power Query and built interactive visualizations for decision-making.
View ProjectAgentic AI Healthcare Monitoring System
January 1, 2026 – Present
Developed an agentic AI-based healthcare monitoring system using CrewAI for multi-agent coordination and Groq API for LLM-powered reasoning. Designed multiple agents for data processing, physiological state analysis, alert generation, and clinical report summarization. Addressed key challenges of agentic systems such as hallucination control, reliable reasoning, and structured decision-making in healthcare scenarios.
View ProjectImproved GANs using Game Theory for Audio Generation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in AI applications, ranging from computer vision to agentic systems and data analytics. This breadth of interest aligns well with the dynamic and evolving nature of an AI Engineer role. The research paper on GANs further indicates a proactive approach to learning and contributing to the field. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The candidate's education at a reputable institution suggests a strong academic foundation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems. The 'Achievements' section mentions organizing blood donation camps, suggesting some organizational and social engagement skills. However, without specific behavioral assessment data or interview transcripts, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication clarity in a professional setting. The candidate is still pursuing a Bachelor's degree, which implies a learning-oriented mindset but also a lack of professional work experience.