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AI Engineer with less than a year in 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
Results-driven AI Engineer with hands-on experience in developing and deploying AI-powered applications. Proficient in NLP, Retrieval Augmented Generation (RAG) systems, and machine learning. Skilled in Python, FastAPI, React, Docker, and cloud platforms, with a strong focus on building scalable and efficient AI solutions. Seeking to apply technical expertise in innovative projects.
Dr. Akhilesh Das Gupta Institute of Professional Studies
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2024
Rasient Technohub Private Ltd
AI Engineer Intern
April 1, 2026 – Present
India
CONVICO AI NEXUS LABS PVT. LTD.
AI Engineer Intern
October 1, 2025 – December 31, 2025
India
AI-Powered Smart Shopping Assistant
June 5, 2026 – Present
Built a full stack AI powered mobile application enabling NLP based product search and personalized e-commerce recommendations. Implemented a Retrieval Augmented Generation (RAG) pipeline using FastAPI, OpenAI LLMs, and Pinecone for semantic search and context aware responses. Containerized and deployed backend services using Docker, integrating Firebase and Supabase for secure authentication and real time data handling.
Hybrid Log Classification System – AI-Powered Log Analytics
June 5, 2026 – Present
Hybrid log classification system integrating Regex, ML, and LLMs to handle varying log complexity. Deployed FastAPI backend with RESTful APIs and React frontend for batch CSV log processing. Improved accuracy by 40% vs rule-based systems; reduced operational costs by 30% through automation.
View ProjectForward Learner program focused on structured problem solving and data driven decision making
McKinsey & Company
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects, including a smart shopping assistant and a log classification system, along with participation in AI-focused hackathons and events, indicates a strong interest in innovation and continuous learning. The experience with both personal and internship projects demonstrates initiative and a broad application of skills, aligning well with a culture that values exploration and practical application of AI technologies. The mention of 'Social Impact Tech' as an area of interest also suggests a potential alignment with socially conscious initiatives.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, collaboration, self-learning, presentation, and adaptability as soft skills. The project descriptions and hackathon achievements suggest a proactive and results-oriented individual capable of working in dynamic environments. The experience with remote internships indicates an ability to work independently and manage tasks effectively.