Suleman Sohail Email & Phone Number

Lahore, Pk

Code Evaluation in Mock-Interviews(DRI): - Provided an environment for user code evaluation in mock-interviews feature, in a hacky way to reduce the feature rollout time, utilizing courses lessons and avoiding reinventing the wheel.- Injected predefined coding problems in System Prompt, to let the AI Interviewer ask coding problems on the go, making the experience engaging.- Leveraged advanced prompt engineering techniques, to reduce the miss ratio of LLM problem generation.- Loaded coding problems on frontend, specific to each interview session on interview start, to reduce any noticeable latency.LLM Inference-Batching(DRI): - Introduced inference batching with OpenAI and optimized LLM-based migration times by 70%. Expedite the process of generating chapters’ summaries across the catalog with the batching process.AI-Driven Adaptive Learning:- Led the data modeling, backend architect, user interface design, adjusting course content based on user performance.RAG System Development:- Integrated Retrieval-Augmented Generation (RAG) pipelines using the HYDE approach with OpenAI embeddings and ElasticSearch Vector Database accommodating sentence chunking, improving information retrieval accuracy.Cloud Integration and Optimization:- Developed and deployed a Cloud Run service for LLM Inference streaming over GCP, along with load balancers for external traffic, handling 100K+ monthly requests, enhancing scalability and system efficiency. Also handled the authorization with encoded auth cookie, signed with secret, like JWTMentorship and Team Leadership:- Mentored junior developers, establishing coding standards and fostering a collaborative environment that encouraged professional growth and high-quality deliverables.Operational Excellence:- Participated in a 7-day recurring on-call rotation, addressing and resolving critical site issues using tools like Sentry and GCP Logs Explorer, demonstrating an ability to manage high-pressure situations.

Pakistan

CloudLabs AWS Integration: - Contributed to the integration of AWS cloud services including IAM and AWS Organizations to develop the CloudLabs feature, contributing to a 5% increase in premium subscription sales.Abuse Detection R&D: - Conducted research and development on cost-effective abuse detection mechanisms using AWS S3, AWS Config, and AWS Lambda, ensuring optimal resource usage and cost management.Cost-Monitoring Data Pipeline: - Engineered a robust ETL pipeline for monitoring AWS resource usage, centralizing data in GCP BigQuery Warehouse for insightful analytics. The pipeline is automated via scheduled cron jobs to ensure seamless operation.Microservice Development for AWS Cleanup: - Managed a microservice to cleanup AWS accounts using the aws-nuke library, utilizing pub/sub architecture for asynchronous communication. Contributed improvements and bug fixes to the aws-nuke open-source project.Cross-Team Collaboration: - Collaborated with multiple teams to enhance and develop the premium CloudLabs feature, ensuring seamless cross-departmental integration and project success.Interview-Prep Courses Enhancement: - Implemented C# language support for the leetcode competitor feature, elevating the interview-prep course offering and boosting our competitive edge in the market.Open-Source Contribution: - Actively contributed to the aws-nuke open-source library, identifying and resolving loopholes to improve the efficiency of AWS resources cleanup.

Lahore, Punjab, Pakistan

Lahore, Punjab, Pakistan

Lahore, Punjab, Pakistan

Lahore, Punjab, Pakistan

Bachelor Of Science - Bs, Computer Science, 3.76

Bachelor Of Science - Bs, Computer Science