
Abdul Jalil
AI Agent and Backend Specialist FastAPI Redis ElasticSearch
Habilidades

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Portfólio
Experiência profissional
Python Developer
Turing • Período integral
Nov 2024 - Present • 1 yr 6 mos
• Designed and implemented large-scale LLM benchmarking pipelines to evaluate top-tier language models on programming, reasoning, and problem-solving tasks. • Developed robust test cases, ideal answers, and structured scoring rubrics to assess model accuracy, logical consistency, and reasoning depth across diverse technical domains. • Created adversarial prompts, edge cases, and failure paths to surface model weaknesses and identify behavioral gaps for future improvements. • Conducted detailed LLM evaluations (Evals), ranking model responses with clear technical rationales grounded in algorithms and system design fundamentals. • Contributed to SFT and RLHF workflows, improving dataset quality, reward modeling, and semantic alignment of model outputs in collaboration with research teams.
TechnoGenics
Período integral • 3 yrs 3 mos
Senior Software Engineer Remote
Jul 2024 - Dec 2024 • 5 mos
• Led UI/UX improvements using Angular and TypeScript, achieving a 40% increase in user satisfaction for search functionality and workflow/subscription features (Cybersecurity). • Designed a structured ANTLR query interface, enhancing user search capabilities and query accuracy by 35%. • Implemented batch handling for processing up to 50,000 IOCs (Indicators of Compromise) per message using RabbitMQ and Redis locks, a 10x improvement from the previous 5,000 IOCs limit, increasing user processing capabilities and overall system scalability. • Managed a team of 6 developers, conducted PR reviews, and assigned tasks to ensure timely project delivery.
Software Engineer
Sep 2021 - Jul 2024 • 2 yrs 10 mos
• Spearheaded the development of a fully automated backend service that subscribed to triggers based on user-defined queries, employing FastAPI, ElasticSearch, RabbitMQ, and REST APIs. Resulting in a seamless and efficient system, users experienced a significant enhancement in receiving updates and notifications. • Built a Job Service using Flask and RabbitMQ for distributing 1,000+ tasks daily. Integrated MongoDB for real-time monitoring and cron jobs for scheduling, deployed on GCP, enhancing real-time tracking. • Engineered a robust reporting feature using MongoDB coupled with Redis caching to streamline data retrieval processes; enhanced analysis communication speed by 50% and improved overall system performance leading to quicker decision-making. • Achieved a 50x improvement in search query performance by implementing structured indexing in ElasticSearch. • Executed a feature in a case management system utilizing Django and GraphQL stack, facilitating the seamless approval and pending processing of cases. • Successfully synchronized incoming data from 20+ web crawlers through Kafka into a Neo4j DB, ensuring real-time data accuracy and accessibility.