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AI Engineer with less than a year in Generative AI, Computer Vision, and MLOps.
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/ML Engineer with hands-on expertise in production GenAI systems, decision science, and real-time computer vision pipelines. Proven track record building end-to-end solutions using Transformers, RAG, and MLOps—from prototyping through cloud deployment on AWS. Specialized in LLM fine-tuning, prompt engineering, and building evaluation frameworks. Seeking AI/ML or GenAI Engineering roles to scale intelligent systems for enterprise impact.
Aditya Vignan Institute of Engineering and Technology (AVNIET), JNTUH
Bachelor of Technology (B.Tech) · Computer Science Engineering, Specialization: Artificial Intelligence and Machine Learning (AI/ML)
N/A – June 1, 2026
Real-Time Intelligent Traffic Violation Detection System
June 1, 2026 – Present
Engineered end-to-end CNN and YOLOv3-based detection system processing CCTV streams in real-time at 25 FPS with 87% detection accuracy for violation classification. Developed decision support system integrating IoT sensor data with intelligent alert logic, reducing manual review time by 60% for enforcement teams. Built production pipeline with TensorFlow, OpenCV, and Python; deployed on edge devices using Docker containers for enterprise scalability.
Transformer-Based Document Intelligence & Summarization Platform
June 1, 2026 – Present
Developed state-of-the-art document processing system using BERT and T5 transformer architectures for intelligent document understanding and abstractive summarization. Designed evaluation framework using ROUGE and BLEU metrics, achieving 93% content relevance accuracy and validated with industry-standard benchmarks. Deployed on FastAPI backend with HuggingFace Transformers, integrated with AWS SageMaker, delivering 78% reduction in manual processing time for enterprise clients.
AWS Certified Solutions Architect – Fundamentals
Amazon Web Services
June 1, 2026 – Present
Google Cloud Certified – Cloud Security and Trust
Google Cloud
June 1, 2026 – Present
LLM Prompting with Gemini
Google Cloud Training
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong focus on AI/ML and GenAI, aligning well with an AI Engineer role. The academic nature of all projects and lack of professional experience suggest a foundational fit, but further assessment would be needed to determine adaptability to a corporate environment, collaboration style, and alignment with company values. The certifications in AWS and Google Cloud indicate a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's resume highlights strong technical skills and project execution. However, without completed psychometric or English tests, it is difficult to assess soft skills like communication clarity, work attitude, stress handling, or team collaboration. The project descriptions are technically detailed but lack explicit mention of teamwork or problem-solving approaches beyond technical implementation.