AI Engineer with less than a year in AI & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with expertise in AI & Machine Learning and a strong analytical mindset. Skilled in developing technical solutions while effectively communicating ideas and collaborating across teams. Adaptable and business-oriented, seeking opportunities in both technology and customer-focused roles to drive innovation and impact.
Alliance University
BTech in Computer Science, Artificial Intelligence and Machine Learning · Computer Science, Artificial Intelligence and Machine Learning
September 1, 2022 – May 1, 2026
Autonomous Drone Navigation System
June 1, 2026 – Present
Developed an RL-based drone navigation system using DQN for obstacle avoidance in dynamic environments. Achieved 92% of successful path completion across 500 simulation episodes. Visualized movement and environment using Pygame.
Online Exam Registration System
June 1, 2026 – Present
Built a secure exam registration platform with authentication, dashboards, and payment flow. Implemented role-based login for students/admin and integrated payment gateway. Dashboard helped admins track 200+ registrations/month with analytics.Deployed using LAMP stack.
Employee Salary Prediction using ML models
June 1, 2026 – Present
Designed and implemented a salary prediction system using regression algorithms. improving salary forecasting accuracy by 18% of Utilized Python,Scikit-Learn, Pandas for data analysis and model evaluation.
Automatic Chest Disease Detection using Deep Learning and XAI
June 1, 2026 – Present
Built a multi-label chest X-ray disease detection model using fine-tuned ResNet50 to classify 14 thoracic diseases. Integrated Grad-CAM for explainable heatmaps and developed and deployed a real-time AI diagnostic web app using Streamlit (93.8% accuracy).
Optimization OnRamp
MathWorks
January 1, 2025 – Present
Foundation of Reinforcement Learning
Unknown
January 1, 2025 – Present
Participated in Placement Training Bootcamp covering aptitude, coding and soft skill
Alliance University
January 1, 2025 – Present
Presented Conference Paper on Employee Salary Prediction
ICESTE
January 1, 2025 – Present
Solved 100+ Java problems on HackerRank
HackerRank
January 1, 2025 – Present
Fundamentals of Reinforcement Learning
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI/ML, aligning well with an AI Engineer role. The diversity of projects (deep learning for medical imaging, reinforcement learning for drone navigation, traditional ML for salary prediction) shows a broad curiosity and willingness to tackle different problem domains. Participation in a placement training bootcamp and presenting a conference paper indicates a proactive attitude towards professional development and knowledge sharing. The lack of professional experience means cultural fit is primarily inferred from academic engagement and project types.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, time management, and team collaboration as soft skills. Project descriptions indicate some level of problem-solving and potentially collaboration (though not explicitly detailed). The academic nature of projects suggests a structured learning and execution approach. However, without professional experience or specific examples, the operational fit in a fast-paced industry environment is difficult to fully assess.