
Generative AI Engineer with less than a year in Deep Learning, NLP, and RAG systems.
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 & Machine Learning undergraduate with hands-on experience in Deep Learning, NLP, and Retrieval-Augmented Generation (RAG) systems. Experienced in building end-to-end ML pipelines, audio deepfake detection models, and intelligent AI applications. Skilled in Python, PyTorch, TensorFlow, and modern LLM frameworks. Passionate about developing scalable AI solutions for real-world problems.
Sagi Rama Krishnam Raju Engineering College (SRKR)
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
TestAIng Solutions Pvt. Ltd.
Generative AI & Machine Learning Intern
January 1, 2026 – May 1, 2026
India
TestAIng Solutions Pvt. Ltd.
Generative AI & Machine Learning Intern
May 1, 2025 – July 1, 2025
India
Audio Deepfake Detection
June 25, 2026 – Present
Developed an audio deepfake detection system using hybrid deep learning architectures. Combined embeddings from Siamese CNN, Wav2Vec2, and WavLM using feature fusion. Performed preprocessing including audio normalization and Mel spectrogram extraction. Built and trained neural network classifier achieving 96-97% accuracy.
Image Captioning
June 25, 2026 – Present
Built an image captioning model using CNN, LSTM, and NLP techniques. Trained model on large-scale dataset of 200K images. Applied transfer learning to improve caption generation quality. Evaluated performance using BLEU scores and loss metrics.
PDF Reader Retrieval-Augmented Generation (RAG) Model
June 25, 2026 – Present
Developed RAG system capable of understanding PDF documents and answering user queries. Implemented document chunking, embedding generation, and semantic search. Generated grounded responses strictly based on retrieved document context.
Deloitte Australia Data Analytics Job Simulation Certificate
Deloitte Australia
June 1, 2026 – Present
MLOps Workshop Certification
Unknown
June 1, 2026 – Present
AI & ML Internship Certification
TestAIng Solutions Pvt. Ltd.
June 1, 2026 – Present
The candidate scored 53% on the Data Scientist — Artificial Intelligence test, indicating a basic understanding but significant areas for improvement in core AI/ML competencies.
Strengths
Cultural Fit Analysis
The candidate's projects and internship experience are highly focused on cutting-edge AI/ML, particularly Generative AI and RAG, which aligns well with an innovative and research-driven culture. Their proactive engagement in personal projects and certifications demonstrates a strong drive for continuous learning and contribution. The remote internship experience also suggests self-discipline and ability to work independently.
Soft Skills & Operational Fit
The candidate lists 'Effective Communication', 'Adaptability', 'Team Collaboration', and 'Problem Solving' as soft skills. Their project descriptions are clear and concise, suggesting good communication. The diverse project portfolio and internship experience indicate adaptability and a problem-solving mindset. Their involvement in team-oriented projects during internships suggests a capacity for collaboration.
Limitations
The candidate scored 0% on the Application Developer — Microsoft Analytics (Power BI) test, indicating no proficiency in this specific skill area.
Strengths
Limitations