We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Muhammad Ali K. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, AI Agent Development, Conversational AI, Retrieval Augmented Generation, Large Language Model, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: Deep Learning Medical AI: Automated Brain Tumor Segmentation, Deep Learning Weather Forecaster: LSTM, MLOps & Grafana, LangGraph Multi-Agent Travel Planner: Autonomous Itinerary Builder, LangChain AI Therapist: RAG-Powered Conversational Agent, LangGraph Multi-Agent System: Automated Smart Contract Auditor, etc.. I am based in Islamabad, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
1 year
1 Year
1 Year
1 Year
Potentially possible
VulnautAI
The Problem: Radiologists suffer from high burnout due to manual tumor segmentation bottlenecks. Traditional methods are slow (60+ mins), delaying diagnosis and treatment planning. The Solution: I en
The Problem: Municipalities lack predictive tools for air quality, reacting late to pollution spikes. This reactive approach risks public health and incurs regulatory fines. The Solution: I engineere
The Problem: Travel planning causes decision fatigue, with users visiting 38+ sites. Standard Chatbot Development lacks the reasoning capabilities required to handle complex, multi-step logistics effi
The Problem: Clinics face long wait times. Wellness apps suffer high churn because standard bots lack Natural Language Understanding and memory, feeling disconnected. The Solution: I engineered a Gen
The Problem: Manual smart contract audits are slow and expensive ($5k+). Missed bugs like reentrancy can drain millions in DeFi. The Solution: I engineered a Gen AI Application using LangGraph and Py
Bachelor of Science (BS) in Computer science
2021-01-01-2025-01-01