Backend AI & Machine Learning Engineer specializing in building scalable REST APIs, FastAPI microservices, speech transcription engines, and enterprise AI automation tools.
"Pervaiz successfully completed the FlyRank AI Internship Program in the role of Back-End AI Engineering Intern. During the program, Pervaiz completed 45 practical assignments applying curriculum in API contracts, Task design, Retrieval/Grounding, and Operations... Based on this verified completion record, I recommend Pervaiz for opportunities aligned with back-end engineering and applied AI systems."
Production-ready AI backends and machine learning applications approved by industry reviewers.
Architected a backend system to track, meter, and bill Large Language Model API consumption with real-time usage metrics and database persistence.
API-first automated lead intelligence engine featuring JWT authentication, web scraping pipelines, LLM-based lead scoring, and automated PDF reporting.
Streaming Speech-to-Text integration utilizing AssemblyAI WebSocket/HTTP endpoints, custom async request loops, and real-time audio transcription handling.
Computer vision and classifier pipeline that automatically tags, indexes, and evaluates relevance scores for large visual content repositories.
Lightweight data ingestion micro-service for embedding customizable lead capture widgets into third-party web platforms with secure API routing.
Evaluations and prompting framework benchmarked for real-world operational workflows and applied LLM response optimization.
Core stack and tooling used in building backend systems and ML pipelines.
Track record in software engineering and operations management.
Ranked #78 globally out of 9,704 candidates. Built and deployed 6 approved capstone projects in FastAPI, LLM metering, and web data scraping. Earned official CEO recommendation letter.
Engineered Python algorithms and mini machine learning workflows. Conducted exploratory data analysis (EDA) and built decision logic tools.
Scaled monthly revenue from $0 to $500,000+ using automated product research algorithms and sales tracking workflows.
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