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AI Engineer with less than a year in Generative AI, NLP, and Computer Vision using Azure Cloud.
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 Engineer intern with hands-on experience in designing, fine-tuning, and deploying end-to-end AI systems using LangChain, Hugging Face Transformers, and Azure Cloud. Specialized in building scalable GenAI workflows, integrating RAG pipelines, and optimizing model performance. Worked on impactful projects in EdTech and FinTech applying deep learning, NLP, and computer vision with a strong foundation in Python, ML/DL, and deployment pipelines.
NALLA MALLA REDDY ENGINEERING COLLEGE
Bachelor of technology · Artificial intelligence & Machine learning
August 1, 2021 – June 30, 2025
OSCOWL ai
AI ENGINEER INTERN
January 1, 2025 – April 1, 2025
Hyderābād, Telangana, India
MULTI-MODAL LANGUAGE – DRIVEN IMAGE GENERATION SYSTEM
April 1, 2025 – June 1, 2025
Integrated transformer-based models with diffusion models for text + image-based inputs and semantic segmentation. Built a web interface for real-time, AI-powered image generation.
CONVERSATIONAL AI CHATBOT USING NVIDIA API KEY
April 1, 2025 – June 1, 2025
Developed a chatbot using the Nvidia NeMo 70B model, leveraging the Nvidia API for natural, human like responses. Enabled efficient query handling and seamless user interactions through advanced language model integration
SQL for DATA SCIENCE
Great Learning (Data/Analytics)
June 1, 2026 – Present
Oracle Certified Infrastructure AI associate
Oracle
June 1, 2026 – Present
Career Essentials in Generative AI
Microsoft & LinkedIn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI & Machine Learning, coupled with an AI Engineer Intern role and relevant projects, aligns well with an AI-focused organizational culture. The diversity of projects (chatbot, image generation) and exposure to various frameworks (LangChain, Hugging Face, TensorFlow, PyTorch) suggest an openness to exploring different AI domains. However, the limited professional experience and academic nature of most projects mean that the candidate's fit within a fast-paced, collaborative industry environment needs further validation.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on practical application and deployment of AI solutions, suggesting a results-oriented approach. The project descriptions highlight integration and optimization, which are valuable operational skills. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or adaptability cannot be definitively evaluated.