Aug 2024 – Aug 2025 · 1 yr · Rawalpindi, Punjab, Pakistan · Hybrid

• At Aridian Technologies, I worked on developing and deploying production-grade machine learning systems across predictive analytics, NLP, and computer vision pipelines.
• My work involved building scalable AI models, optimizing performance through automation and data engineering, and collaborating with cross-functional teams to deliver end-to-end intelligent solutions.
• Each project deepened my understanding of how AI can transition from prototypes to reliable enterprise systems, bridging the gap between data science research and product-ready deployment.

May 2023 – Aug 2025 · 2 yrs 3 mos · Hybrid

• May 2023 - Present | 2 yrs 2 mos | Hybrid
• As a Student Ambassador for Streamlit, I promote data science and AI development within the academic community. With over two years of hybrid experience, I engage with students, host workshops, and showcase Streamlit’s capabilities for building interactive data applications. My efforts foster a culture of learning and innovation, helping peers leverage tools for real-world problem-solving.

May 2023 – Jun 2023 · 1 mo · Remote

• May 2023 - June 2023 | 2 mos | Remote
• During my Python Developer internship at CodeClause, I gained hands-on experience in Machine Learning and Python-based development. Over two months, I collaborated on projects to design and implement algorithms, contributing to data-driven solutions. This role enhanced my technical skills and provided a solid foundation for tackling complex AI challenges in a remote, fast-paced environment.

Apr 2023 – Jul 2023 · 3 mos · Lahore, Punjab, Pakistan · On-site

• At Metadots, I got my first taste of what it means to make AI useful, not just accurate.
• I worked on designing and deploying machine learning models that powered real client applications, from preprocessing raw data to optimizing algorithms for speed and precision.
• Most of my focus was on Python, TensorFlow, Scikit-learn, and OpenCV, turning theoretical models into systems that could handle real-world unpredictability.
• I also collaborated with backend developers to integrate these models into production APIs and tested performance across multiple environments.
• It was the kind of experience that taught me one simple truth,
• AI isn’t just about code, it’s about clarity, precision, and how well your model fits into the bigger system.

Feb 2023 – Dec 2025 · 2 yrs 10 mos

• Effixly isn’t just where I work, it’s where I experiment, break limits, and design intelligence that quietly powers modern systems.
• My role blends deep learning, engineering, and product design, creating AI that can reason, adapt, and scale.
• From LLM pipelines that interpret language contextually, to automation frameworks that learn from behavior, I build foundations that feel alive in how they respond and evolve.
• I architect full-stack ecosystems where every layer, model, API, and interface, speaks the same language.
• That means building modular AI infrastructure, scalable microservices, and voice-driven systems that work across industries like EdTech, business automation, and intelligent analytics.
• Each solution is built with one idea in mind:
• → AI should feel natural, not noticeable.

Jan 2023 – Jun 2023 · 5 mos · On-site

• As a Teaching Assistant, I had the chance to simplify tough concepts for students stepping into the world of Data Science and Business Analytics.
• My role wasn’t about grading, it was about translating complexity into clarity.
• I helped students understand how data actually behaves in the real world, how business metrics turn into models, and how software logic ties it all together.
• From guiding Python-based analytics labs to reviewing machine learning assignments and mini-projects, I focused on helping students think like problem-solvers, not just coders.
• The goal was simple, make learning data feel less like math, and more like meaning.

Dec 2022 – Present · 3 yrs 5 mos · Remote

• Freelancing on Upwork became my lab for building intelligent systems across industries, from finance and healthcare to e-learning and real estate.
• I specialize in designing AI-powered applications that blend strong architecture with real usability.
• That means crafting custom LLM solutions, NLP pipelines, automation systems, and analytics dashboards that help companies make better, faster decisions.
• Most of my projects start with an idea on paper and end as full-scale products, complete with backend APIs, smart integrations, and responsive interfaces.
• I’ve delivered everything from voice-enabled SaaS tools to document-understanding models that process thousands of entries daily with near-human accuracy.
• My focus is always the same: build AI that feels simple, works fast, and scales quietly in the background, doing complex things so people don’t have to.