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AI Engineer with less than a year in Machine Learning, NLP & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ananya Samal is an aspiring AI Engineer with a foundational internship in AI/ML and hands-on experience in building AI-powered applications. She is proficient in Python, JavaScript, and various AI/ML frameworks like TensorFlow and PyTorch, focusing on natural language processing, computer vision, and large language models. Her projects demonstrate her ability to develop full-stack AI solutions, from designing neural networks to deploying interactive web applications, consistently aiming for efficiency and real-world applicability.
Trident Academy Of Technology
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
Stewart Science College
12th Standard
June 1, 2020 – May 31, 2022
Central Tool Room and Training Centre(CTTC)
AI and ML Intern
July 1, 2025 – August 31, 2025
Bhubaneshwar, Odisha, India
Vision Chat AI
June 24, 2026 – Present
Developed a full-stack AI-powered web application using React and FastAPI, enabling image captioning and visual question answering (VQA) on user-uploaded images. Integrated BLIP transformer models from Hugging Face for real-time inference, generating accurate image-to-text descriptions with low latency. Designed and optimized RESTful APIs for seamless frontend-backend communication, ensuring scalable performance and reduced response time. Enabled multi-image input processing and interactive querying, enhancing user experience and real-world usability of the system.
View ProjectPersonal AI Assistant
June 24, 2026 – Present
Built an AI assistant for multi-step tasks like data retrieval, summarization and notes. Used LangChain Agents for context-aware reasoning and decision making. Applied FAISS for long-term memory and context retention. Improved response efficiency by 25%.
View ProjectAI Powered E-commerce Support Agent
June 24, 2026 – Present
Built a RAG-based system with FAISS enabling product search across 1,000+ products. Implemented retrieval-grounded response pipeline for improved accuracy. Designed full pipeline from CSV ingestion to LLM response generation. Developed interactive Streamlit UI.
View ProjectAI Fundamentals by IBM SkillsBuild
IBM SkillsBuild
January 1, 2025 – Present
Introduction to GenAI by Google Cloud Skills Boost
Google Cloud Skills Boost
January 1, 2025 – Present
TCS ION Career Edge - IT Primer Certificate
TCS ION
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and initiative in the AI domain, aligning well with an AI Engineer role. The diversity of projects (AI assistant, Vision Chat AI, E-commerce Support Agent) shows a broad application of AI concepts. The candidate is currently pursuing a Bachelor's degree, indicating a strong academic foundation and a continuous learning mindset. The certifications in AI Fundamentals and GenAI further support a commitment to staying current with industry trends. However, the lack of professional experience beyond a single internship and personal projects means there's limited data to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. The focus on improving efficiency and user experience in projects suggests a results-oriented mindset. However, without direct assessment data on soft skills, a comprehensive evaluation of operational fit, stress handling, and team collaboration is not possible.