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AI Engineer with less than a year in Machine Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven problem solver and recent IIT Roorkee graduate with hands-on experience delivering production-ready AI and analytics solutions that create measurable business impact through applied Machine Learning, Generative AI, and Analytics. Seeking roles where technology directly drives efficiency, risk reduction, and informed decision-making.
SRI CHAITANYA SCHOOL
Class XII (CBSE)
June 1, 2020 – May 31, 2022
INDIAN INSTITUTE OF TECHNOLOGY ROORKEE
Bachelor of Technology (B.Tech) · Mechanical Engineering
N/A – June 30, 2026
Cerebrium Capital
AI Engineer Internship
March 1, 2026 – June 30, 2026
India
IIT Roorkee
GenAI Internship
June 1, 2025 – July 31, 2025
India
Automated Meta Data Generation
June 1, 2025 – July 31, 2025
• Increased document discoverability by 80% by automating structured metadata generation across PDFs, DOCX, TXT, and image files. • Cut manual processing time by 60% using a scalable OCR-integrated pipeline supporting 10+ file formats. • Improved metadata accuracy by 40% by applying NLP and LLM-based semantic understanding. • Streamlined workflows by building a Streamlit application for document upload, preview, and export.
Credit Card Default Risk Modeling
May 1, 2025 – June 30, 2025
• Reduced exposure to high-risk customers by 30% by developing and tuning XGBoost/LightGBM models optimized for high recall. • Improved model reliability by automating hyperparameter tuning, ensuring robust generalization across unseen financial data. • Enabled auditable credit decisions by delivering interpretable risk signals suitable for real-world financial oversight.
E-commerce Sales Analytics & Customer Insights
February 1, 2025 – March 31, 2025
• Identified revenue growth opportunities worth 15% through large-scale customer behavior and sales data analysis. • Reduced manual reporting effort by 70% by developing interactive dashboards for real-time business monitoring. • Improved customer retention by 25% by translating analytical insights into data-driven pricing and segmentation strategies.
Cultural Fit Analysis
The candidate's project diversity, ranging from financial risk modeling to e-commerce analytics and legal AI assistants, indicates adaptability and a broad interest in applying AI across different domains. Their experience in internships at both a startup (Cerebrium Capital) and an academic institution (IIT Roorkee) suggests an ability to thrive in varied work environments. The focus on delivering production-ready solutions and measurable business impact aligns well with a results-driven culture. The candidate's academic background from a top-tier institution (IIT Roorkee) further supports a strong cultural fit for a high-performance technical team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities and a results-oriented mindset, as evidenced by quantifiable achievements in their projects and internships. Their experience in building user-facing applications (Streamlit) suggests an understanding of end-to-end solution delivery. The candidate's involvement in extracurriculars like 'Placement Coordinator' and 'Algo Vision Competition' indicates leadership potential, teamwork, and a proactive attitude. However, without direct interview data, assessing stress handling, detailed work attitude, and team collaboration beyond project descriptions is limited.