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AI Engineer with 1+ years in ML/AI Systems and Big Data.
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Assessing your cultural and operational fit
Final year BCA student with hands-on experience building and deploying AI/ML systems to production. Built DeepGuard, a deepfake audio detection system using Python, Flask, Scikit-learn, and Docker, deployed on Hugging Face Spaces. Experienced in ML pipelines, RAG-based architectures (LangChain, FAISS, vector DBs), containerized deployments, and Big Data frameworks (Spark MLlib, Kafka). A fast learner with a full ownership mindset; open to building and shipping production agent systems.
Samsung Innovation Campus
Big Data Track
August 1, 2025 – June 30, 2026
University of Lucknow
Bachelor of Computer Applications
August 1, 2023 – June 30, 2026
Kraf Technologies
Frontend Developer Intern
May 1, 2025 – June 1, 2025
India
Samsung Innovation Campus
Big Data Capstone — Team Lunora
January 1, 2025 – June 1, 2026
India
DeepGuard - Deepfake Audio Detector
January 1, 2026 – Present
Architected full ML pipeline: audio feature extraction (Librosa/MFCC) → Random Forest classifier → Flask REST API → Docker container deployed on Hugging Face Spaces. Resolved MP3-to-WAV conversion via ffmpeg subprocess integration; achieved 99.49% model confidence on test files. Independently managed full lifecycle: model training, API development, Dockerfile, Git LFS, and production deployment.
View ProjectCustomer Churn Prediction
January 1, 2026 – Present
Built end-to-end classification pipeline with SMOTE for class imbalance; deployed as interactive Streamlit app with feature engineering and cross-validation.
Olympics Data Analysis Dashboard
January 1, 2026 – Present
Built interactive dashboard with dynamic filters; performed data quality checks and anomaly correction on large datasets.
Microsoft Azure AI Essentials
Unknown
June 1, 2026 – Present
Oracle Database SQL Certified Associate
Unknown
June 1, 2026 – Present
MTA: Introduction to Programming Using Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from deepfake detection to customer churn prediction and data analysis dashboards, indicates a broad interest in applying AI/ML to various domains. Their involvement in the Samsung Innovation Campus Big Data Track and achieving 'National Topper' status demonstrates a commitment to continuous learning and excellence. The SheFi Scholar program and publishing technical articles suggest a proactive and community-oriented mindset, aligning well with a culture of knowledge sharing and growth. The target role of AI Engineer aligns well with their demonstrated skills in ML pipelines, MLOps, and Big Data.
Soft Skills & Operational Fit
The candidate's summary highlights a 'full ownership mindset' and being a 'fast learner,' which are positive indicators for operational fit. Their involvement in the SheFi Scholar program suggests leadership potential and a collaborative spirit. The independent management of the full lifecycle for the DeepGuard project further supports a proactive and ownership-driven approach.