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AI Engineer with less than a year in Machine Learning & Data Engineering
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Assessing your cultural and operational fit
Driven computer science undergraduate with a strong ability to build reliable, scalable, and impactful technology solutions. Through continuous learning and hands-on development, I have cultivated the ability to approach complex problems with structured thinking and engineering discipline. Motivated to contribute to high-performance teams in tech roles where I can grow as an engineer while delivering meaningful technical impact.
Vellore Institute of Technology
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – May 1, 2026
St. Clare's Convent School, Lucknow
Higher Secondary Education · Science
N/A – Present
Scalable E-commerce Data Engineering Pipeline
June 1, 2026 – Present
• Built an end-to-end ETL pipeline for processing transactional datasets with data validation and transformation. • Designed optimized SQL queries to compute KPIs including revenue growth and retention metrics. • Automated reporting dashboards to enable real-time business insights and performance monitoring.
Document Intelligence & Semantic Query System
June 1, 2026 – Present
• Designed a scalable FastAPI backend enabling semantic document search using vector embeddings and similarity-based retrieval. • Implemented RAG pipeline for context-aware question answering over large document collections. • Integrated JWT-based authentication and modular API architecture to handle concurrent user queries efficiently.
Kisan Sathi: Machine Learning Crop Advisory System
June 1, 2026 – Present
• Developed supervised ML models for crop recommendation using soil and climate datasets with feature engineering. • Performed model evaluation, cross-validation, and hyperparameter tuning to improve prediction accuracy. • Exposed prediction models through Flask-based REST APIs for real-time advisory integration.
Smart HireX: AI Recruitment Platform
June 1, 2026 – Present
• Architected intelligent AI recruitment system using LLM for automated candidate screening and ranking, streamlining talent acquisition for business efficiency • Implemented automated email workflows and RESTful APIs, significantly reducing recruitment cycle time • Deployed production-ready Flask application handling high-volume transactions with robust error handling
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Oracle Cloud Infrastructure
June 1, 2026 – Present
Postman API Fundamentals Expert
Postman
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI recruitment to e-commerce data engineering and crop advisory systems, demonstrates adaptability and a broad interest in applying technical skills to various domains. The target role of 'AI Engineer' aligns well with the candidate's project experience in LLMs, RAG, and machine learning. The certifications in Oracle Cloud Infrastructure Data Science and Postman API Fundamentals further indicate a commitment to professional development and industry best practices. However, the lack of professional work experience (experienceLevel: 0) might require additional mentorship and ramp-up time in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights core strengths such as problem-solving, analytical thinking, structured approach, ownership mindset, and team collaboration. These indicate a good operational fit for roles requiring independent work and collaborative efforts. The involvement in co-curricular activities and open-source contributions suggests a proactive and engaged individual.