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Software Engineer with one year experience in backend development & AI/ML..
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Results-driven Software Engineer (AI/ML) with hands-on experience in backend development, machine learning, RAG and Agentic AI. Proficient in Python, Django/FastAPI, and TensorFlow, with strong foundations in algorithms, data structures, and ML model development. Adept at implementing scalable AI software solutions.
Punjab University College of Information and Technology (PUCIT)
Bachelor of Science · Data Science
August 1, 2021 – June 30, 2025
Meissasoft
Python Developer
August 1, 2025 – Present
Lahore, Punjab, Pakistan
MeiChat - Agentic RAG-based Chatbot
December 1, 2025 – January 1, 2025
Built a multi-tenant SaaS platform for creating customizable AI chatbots with user-defined scope, instructions, and guardrails. Implemented an agentic workflow using LangGraph for autonomous tool calling, including RAG retrieval and lead capture. Enabled document-based RAG and website integration via a lightweight JavaScript plugin, with automated lead follow-ups.
Velo Lab - AI Trading Platform
September 1, 2025 – November 1, 2025
Built an AI-powered trading and backtesting platform for training and comparing ML models across stock tickers. Designed a versioned, shareable recipe system with reproducible model configurations and backtesting strategies. Implemented an async FastAPI backend with multiprocessing, WebSockets, and Redis for real-time training updates. Implemented data export and training package downloads including metrics reports and reproducible datasets.
View ProjectAI-powered SEO Analysis Tool (FYP)
October 1, 2024 – June 1, 2025
Built a Flask-based SEO analysis platform to analyze, compare, and deliver real-time insights on website performance. Integrated external APIs (e.g., Ahrefs) for keyword density, metadata extraction, competitor analysis, and data storage using MongoDB. Leveraged Chat model (Meta Llama3-70B) from GroqCloud to generate actionable, AI-driven SEO recommendations.
Solved 100+ problems on Codeforces
Codeforces
June 1, 2026 – Present
ITEC 2023 Coding Competition
UET
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI/ML technologies and a proactive approach to building complex systems. The diversity of personal and academic projects (chatbot, trading platform, SEO tool) indicates a broad interest and ability to adapt to different problem domains. The current role as a Python Developer at Meissasoft aligns well with the target role of Software Engineer, particularly with an AI/ML focus. The academic background in Data Science further strengthens the cultural fit for an AI-centric engineering role.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, communication, critical thinking, and team collaboration as professional skills. Participation in a coding competition and solving problems on Codeforces further supports problem-solving abilities. However, without specific assessment data for these soft skills, a comprehensive operational fit cannot be fully determined.