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AI Engineer Internship in Delhi with less than a year in AI/ML, Cloud Computing, and Full-stack Deve
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Assessing your cultural and operational fit
Data Scientist Intern with a Bachelor's in Computer Science specializing in Cloud Computing & Automation. Proven ability to engineer and optimize AI solutions, develop full-stack platforms, and implement robust deployment pipelines. Skilled in Python, JavaScript, AWS, Docker, and various AI/ML frameworks, with a strong focus on enhancing system performance and user experience.
VELLORE INSTITUTE OF TECHNOLOGY
Bachelor in Technology Computer Science (Specialization in Cloud Computing & Automation) · Computer Science (Specialization in Cloud Computing & Automation)
September 1, 2022 – June 1, 2026
Quantal Limited
Data Scientist Intern
May 1, 2025 – October 1, 2025
Auckland, Auckland Region, New Zealand
CodeAura - Semantic Code Search
January 1, 2024 – December 31, 2024
Built an NPM package for semantic code search across 30,000+ functions with <900ms latency using Node.js and ChromaDB. Implemented a hybrid ranking algorithm to reduce false positives and built a visualization dashboard for debugging and code exploration.
E-Commerce Platform
January 1, 2023 – December 31, 2023
Developed a scalable backend using Node.js, Express.js, and MySQL. Implemented Redis caching to optimize queries, achieving 35% faster response times under a load test of 10,000 concurrent requests. Deployed the full application with AWS using EC2, Auto Scaling, and a Load Balancer to create a fault-tolerant, high-availability system.
Movie Recommendation Engine
January 1, 2023 – December 31, 2023
Built a collaborative filtering recommender using Python, Flask, and scikit-learn, integrating with a frontend to deliver real-time recommendations with <500ms response.
View ProjectIBM DevOps
IBM
June 1, 2026 – Present
Java Programming
Udemy
June 1, 2026 – Present
Published a Springer paper on hyperspectral image classification using ML.
Springer
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI/ML to full-stack development and DevOps, indicates a broad technical interest and adaptability. Their involvement in leadership roles and hackathons suggests a proactive and collaborative mindset. The specialization in Cloud Computing & Automation, combined with AI/ML projects, aligns well with the evolving landscape of AI engineering roles, which often require robust deployment and infrastructure knowledge.
Soft Skills & Operational Fit
The candidate's leadership roles in student clubs suggest good organizational and teamwork skills. Their project descriptions indicate an ability to work on complex problems and deliver measurable results. The focus on performance optimization and system reliability aligns well with operational excellence.