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AI Engineer with 1+ years in scalable data pipelines & LLM integration
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AI/ML Engineer with 2+ years of experience in scalable data pipelines, LLM integration, and Prompt Engineering on Azure. Reduced data processing time by 40% across pipelines handling 50M+ daily records.
VIT University
B.Tech · Computer Science and Electronics
August 1, 2021 – September 30, 2025
Info Edge
Data Engineer
March 1, 2025 – Present
Noida, Uttar Pradesh, India
Canara HSBC Life Insurance
Governance Analyst Trainee
August 1, 2024 – February 28, 2025
Gurgaon, Haryana, India
Zero-Shot Text-to-Code Generation Using LLMs
June 18, 2026 – Present
• Developed a zero-shot code generator using Mistral Large Language Model (LLM) and structured Prompt Engineering, improving code correctness by ~30%; built automated sandbox testing for safe LLM output validation.
Eye Control Interface
June 18, 2026 – Present
• Built a real-time eye-control system with ~92% gaze accuracy and <120ms latency; integrated blink-click detection improving pointing accuracy by 45%, packaged as a cross-platform Flask prototype.
AWS Cloud Practitioner (CLF-C02)
Unknown
June 30, 2026 – Present
Google Generative AI Leader
Unknown
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans both academic projects focused on AI/ML and industry roles in Data Engineering and Governance Analysis. This diversity suggests adaptability and a broad interest in data-driven fields. The current role as a Data Engineer at Info Edge, coupled with academic AI projects, indicates a strong alignment with a technical, data-intensive culture. The certifications in AWS Cloud Practitioner and Google Generative AI Leader further demonstrate a proactive learning attitude and commitment to staying current with industry trends, which is a good cultural fit for innovation-driven environments.
Soft Skills & Operational Fit
The candidate's resume highlights achievements with quantifiable metrics (e.g., 'cutting transformation time and cost by 40%', 'improving code correctness by ~30%'), indicating a results-oriented approach. Experience in aligning business KPIs and reducing reporting discrepancies suggests good analytical and problem-solving skills. The academic projects demonstrate initiative and the ability to build functional prototypes.