s
sarmadali_

Sarmad Ali

@sarmadali_

Turning Data, Ideas, and Designs into actionable results

Pakistan
Hindi, Englisch, Urdu, Deutsch, Französisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Full Stack Developer and Data Science graduate from FAST NUCES Islamabad with hands-on experience building and deploying end to end web applications. Proficient in React.js, Next.js, FastAPI, and Node.js across the full development lifecycle from database design and REST API architecture to responsive frontend interfaces and production deployment. Comfortable working across the stack with strong experience in real-time systems, authentication, and containerised deployments.... Mehr lesen

Kompetenzen

s
sarmadali_
Sarmad Ali
offline • 

Meine Dienstleistungen

Natural Language Processing
I will do data science tasks, do nlp, text analysis using python
Ab90 $ / ProjektWeitere Details
Deep Learning
I will do your deep learning, machine learning and ai projects
Ab90 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Training

Data Science/Analysis Trainer

Training • Vollzeit

Aug 2026 - Present • 2 mos

-Deliver practical, job-focused training sessions on Data Science, Machine Learning, and Data Analysis to students as part of Future Connect's Digital academy. - Teach Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau, and ML fundamentals; guide students through hands-on projects covering EDA, model building, and data visualisation. - Support students with CV preparation, mock interviews, and career guidance to improve employability outcomes in data and AI roles.

Speeqr

Full Stack Media Engineer

Speeqr • Vollzeit

May 2026 - Aug 2026 • 3 mos

- Debug audio sync issues across multi-room conferencing using NTP/GCC-PHAT alignment, fix a 16kHz/48kHz sample rate mismatch causing buffer overflow. - Implement an adaptive jitter buffer and reduce end-to-end audio latency from 3-4 seconds to under 1 second through buffer tuning and AudioContext optimisation. - Research WebSocket, WebRTC, and WebTransport/QUIC tradeoffs to inform architecture decisions on a .NET 9/C# + WebRTC stack; access and test deployments on AWS EC2 instances via RDP.

LinkedIn

AI Automation Engineer

LinkedIn • Vollzeit

May 2025 - Aug 2025 • 3 mos

Designed LLM-based automation pipelines to eliminate repetitive operational tasks; integrated language model APIs with internal tooling to enable intelligent, context-aware process automation.