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AI Engineer with 1+ years in Machine Learning & LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with hands-on experience in machine learning, LLMs, healthcare AI systems, and intelligent automation. Skilled in developing and deploying real-world AI solutions. Expertise spans building end-to-end AI-powered coding systems, anomaly detection pipelines, and improving AI output observability. Proven ability to reduce manual effort and improve accuracy in critical business processes.
FAST-NUCES
B.S. in Computer Science · Computer Science
August 1, 2020 – June 30, 2025
CareCloud
AI Engineer
May 1, 2025 – Present
India
FBR
AI/ML Intern
June 1, 2024 – September 1, 2024
India
School
Database and Software Developer Intern
June 1, 2024 – August 1, 2024
India
Lightweight Deep Learning Model For Prediction and Classification of Wheat Diseases
June 23, 2026 – Present
Enhanced model performance and dataset diversity through GAN-based synthetic data generation, improving robustness against real-world variations. Achieved high accuracy while maintaining low computational cost, enabling real-time disease detection on mobile devices.
AI Predictive Anomaly Detection Model for Financial Transactions
June 23, 2026 – Present
Developed an LSTM-based anomaly detection system to identify irregular patterns in company purchase and sales data over time. Applied time-series scaling, feature engineering and threshold-based evaluation for improved audit precision. Enabled early detection of suspicious financial activity, improving audit efficiency and reducing manual review effort.
Student ID Card Detection
June 23, 2026 – Present
Trained a YOLOv5 model for real-time detection and localization of student ID cards in images and video frames. Labeled custom dataset, optimized model for accuracy and speed, and deployed the system for automated identity verification.
School Information Management System (SIMS)
June 23, 2026 – Present
Engineered relational schema and implemented business logic using PL/SQL procedures, triggers and constraints. Developed modular Oracle Forms UI for student registration, fee tracking and dynamic reporting, deployed on Oracle 11g platform.
Python
Unknown
June 1, 2026 – Present
Rust
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experiences show a strong inclination towards practical application of AI/ML, database management, and software development. The diversity of projects, from financial anomaly detection to medical coding automation and agricultural disease prediction, indicates a broad interest in applying AI across different domains. This breadth, combined with a focus on real-world problem-solving, suggests a good cultural fit for an innovative and impact-driven AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through various project descriptions and has experience in cross-team coordination. The ability to instrument evaluation dashboards for AI output quality indicates a focus on operational excellence and monitoring. The project diversity suggests adaptability and a willingness to tackle different types of technical challenges.