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AI Engineer with less than a year in Machine Learning & Computer Vision
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Assessing your cultural and operational fit
2026 B.Tech Computer Science (AI) graduate with experience developing AI/ML solutions across computer vision, predictive modeling, and NLP. Proficient in Python, PyTorch, TensorFlow, Scikit-learn, FastAPI, and model deployment, with experience fine-tuning, evaluating, and deploying machine learning models for production applications.
KIET Group of Institutions, Ghaziabad, U.P
B.Tech · Computer Science & Engineering (AI)
August 1, 2022 – June 30, 2026
Gymbrawns Enterprises
Frontend Web Development Intern
May 1, 2025 – August 1, 2025
India
AI-Powered Insurance Claims Intelligence Platform
June 27, 2026 – Present
• Developed a multi-agent AI pipeline using LangGraph and CrewAI to automate insurance claim processing through document understanding, fraud analysis, policy validation, settlement estimation, and explainable decision workflows. • Engineered production-oriented AI capabilities including Human-in-the-Loop approvals, semantic memory with ChromaDB, LLM evaluation, configurable guardrails, and FastAPI deployment for transparent and reliable claim processing.
View ProjectCustomer Churn Prediction & Risk Analysis
June 27, 2026 – Present
• Developed an end-to-end customer churn prediction pipeline, performing data preprocessing, feature engineering, exploratory data analysis, and training multiple classification models on 7,000+ customer records. • Optimized model performance using GridSearchCV and evaluated classifiers using Accuracy, Precision, Recall, F1-Score, and ROC-AUC, achieving 85% accuracy and 0.82 ROC-AUC.
View ProjectFire & Smoke Detection using YOLO11n
June 27, 2026 – Present
• Fine-tuned a lightweight YOLO11n model on the D-Fire dataset (21K+ images) for real-time fire and smoke detection, optimizing inference for edge deployment while maintaining high detection performance. • Evaluated the model using Precision, Recall, mAP, confusion matrix, and qualitative inference on unseen images to validate deployment readiness across diverse fire and smoke scenarios.
View ProjectAI Agentic Design Patterns with AutoGen
DeepLearning.AI
June 1, 2026 – Present
AWS Certified Cloud Practitioner (In Progress)
Unknown
June 1, 2026 – Present
CritiqueConnect: Augmenting Human Creativity through AI-Driven Semantic Analysis
IEEE ICECA
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in AI applications, from computer vision to NLP and predictive analytics, which aligns well with an AI Engineer role. The involvement in a publication and ongoing AWS certification shows initiative and a desire for continuous learning. The remote internship experience, though brief, indicates adaptability. Overall, the candidate appears to be a motivated individual with a strong interest in the AI domain, suggesting a good cultural fit for a growth-oriented technical team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The academic background in AI and participation in a publication suggest a strong learning aptitude and dedication. However, with limited professional experience, direct evidence of operational fit, teamwork, and stress handling is insufficient from the provided data.