AI Engineer with less than a year in Machine Learning and Deep Learning, eager to apply technical ex
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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.