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AI Engineer with less than a year in Machine Learning and Deep Learning, eager to apply technical ex
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To grow as a proficient Artificial Intelligence and Machine Learning professional, applying my skills to solve complex problems, contribute to innovative technologies, and continuously expand my knowledge in the ever-evolving field of Artificial Intelligence and Machine Learning.
Sagi Rama Krishnam Raju Engineering College (SRKR)
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Sasi Junior College
Intermediate Education · MPC
June 1, 2020 – May 31, 2022
Sasi English Medium High School
Secondary School Certificate (SSC)
June 1, 2020 – May 31, 2020
EduSkills
AI-ML Virtual Internship
October 1, 2025 – December 31, 2025
India
Lung Cancer Prediction System
January 1, 2026 – Present
Built a prediction system using Logistic Regression, Decision Tree, KNN, and Naive Bayes. Implemented feature engineering, model tuning, and evaluation techniques for reliable results. Achieved 91.5% accuracy through advanced preprocessing and model optimization.
AI Blog Generator with AWS Bedrock
January 1, 2026 – Present
Developed a serverless blog generator using AWS Bedrock and Lambda to generate blog content from user prompts. Implemented secure REST APIs with API Gateway and monitored application activity using CloudWatch.
TrueFace: Multi-Modal Scam & Deepfake Detection
January 1, 2026 – Present
Designed a dual-layered detection system using MTCNN, CNN, and Streamlit, achieving 90%+ accuracy in synthetic media identification. Integrated Whisper, Pyannote.audio, and Llama 2 to automate transcription, speaker diarization, and flag manipulation tactics in real-time.
AI Foundations and AI Advanced
Hexart
June 1, 2026 – Present
AI-ML Virtual Internship
Blackbucks
June 1, 2026 – Present
Data Science For Engineers
NPTEL
June 1, 2026 – Present
Generative AI Essentials
TCS iON Career Edge
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML, aligning well with an AI Engineer role. The diversity of projects, from deepfake detection to blog generation and cancer prediction, indicates a broad curiosity and willingness to explore different applications of AI. The virtual internship and certifications further reinforce a proactive learning attitude, which is a positive cultural indicator. However, all experience is academic or virtual, limiting insight into collaboration and real-world project dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and integrate multiple technologies. The academic projects show initiative and a foundational understanding of AI/ML workflows. However, the lack of professional experience beyond a virtual internship means operational fit in a fast-paced, senior-level environment is unproven.