Mumbai University
Computer Engineering, B.E.
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As a Software Developer with extensive experience building scalable backend architectures, I specialize in engineering the automated infrastructure and data pipelines that power AI training models and high-throughput data labeling workflows. Leveraging strong full-stack expertise (JavaScript, PHP) and cloud infrastructure management (AWS), I design systems for programmatic data ingestion, cleaning, and structural validation. My approach bridges the gap between raw, unstructured data and model-ready training sets, optimizing data curation pipelines to ensure that datasets are highly accurate, structured, and performant for large language models (LLMs) and advanced AI applications. What sets me apart is my focus on data integrity, security, and workflow automation. I have a proven track record of implementing robust anti-spam and verification frameworks—such as Proof-of-Work (PoW) mechanisms—to eliminate synthetic noise and protect training pipelines from adversarial inputs. Combined with deep experience in secure API architecture, access controls (JWT/Cognito), and modern AI development tools, I construct secure, compliant labeling ecosystems. This engineering-first mindset allows me to automate complex labeling logic, accelerate dataset preparation cycles, and deliver the rigorous data quality required for enterprise-grade AI training.
Computer Engineering, B.E.
Cimpress
SWE II