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AI Engineer with less than a year in Python, JavaScript, and Machine Learning.
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Assessing your cultural and operational fit
A dedicated and results-driven Entry-level AI Engineer with 9 months of experience in Python and JavaScript, complemented by a strong foundation in Data Structures, Algorithms, and Object-Oriented Programming. Proven ability to develop multi-tier web applications, implement AI-driven features like semantic search, and contribute to open-source projects. Eager to leverage competitive programming and technical skills to solve complex challenges in a dynamic environment.
Sandip University
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2025
Outlier.ai
Al Trainer
November 1, 2024 – July 1, 2025
India
Task Scheduler – Intelligent Scheduling Platform
September 1, 2025 – Present
Developed REST APIs to create, cancel, and search meetings with conflict detection, preventing overlapping bookings across 100+ test events. Modeled relational data for users, events, and time slots; used indexing to optimize availability queries in local testing. Validated system consistency under simulated concurrent booking requests (10+ parallel clients) to ensure conflict handling logic. Identified caching and asynchronous processing as future scalability improvements.
View ProjectMovies Recommendation System
July 1, 2025 – August 1, 2025
Built a multi-tier web application handling 200+ movie records with optimized backend search APIs. Implemented vector-based semantic search using cosine similarity, improving recommendation relevance by ~30% compared to keyword search. Optimized backend queries to maintain consistent response times under concurrent local testing. Designed a retrieval pipeline mapping user queries to movie metadata with clear separation of concerns.
View Project(Rated 1812)
Leetcode
June 1, 2026 – Present
Hacktoberfest 2025: Super contributor
Digital Ocean
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in open-source projects (Hacktoberfest) and a daily coding streak on Leetcode indicates a proactive, continuous learning, and community-oriented mindset. Their experience as an AI Trainer suggests an ability to contribute to knowledge sharing and improvement within a team. The project diversity, ranging from scheduling platforms to recommendation systems, shows adaptability and a broad interest in problem domains, aligning well with dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their Leetcode performance and experience in identifying logical bugs and inefficiencies. Their role as an AI Trainer suggests good communication and mentorship abilities. Participation in Hacktoberfest indicates a collaborative mindset and proficiency in Git-based workflows, which are crucial for team environments. The project descriptions are clear and highlight problem-solving approaches.