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AI Engineer with 1+ years in Automation & AI/ML Development
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AI Engineer and Automation Developer with a focus on designing and deploying end-to-end AI automation workflows, integrating LLM APIs, and leveraging third-party platforms for business solutions. Experienced in developing multi-hop RAG pipelines, deepfake audio detection systems, and various AI agents for e-commerce, lead generation, and customer service. Proficient in Python, PyTorch, HuggingFace Transformers, n8n, and a wide array of integration technologies, with a strong background in data science principles and automation platforms.
FAST National University of Computer and Emerging Sciences (NUCES)
Bachelor of Science · Data Science
N/A – June 30, 2027
Tashi Technologies Corp.
AI Automation Engineer
October 1, 2025 – April 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Escaplix
AI Automation Intern
July 1, 2025 – August 1, 2025
India
Low-Resource Deepfake Audio Detection (Research)
June 27, 2026 – Present
Research study on Urdu/Bengali deepfake speech detection; built a leak-controlled Augmented-A3 split and evaluated zero-shot, few-shot, and full fine-tuning regimes. Team of 3; trained CNN-LSTM-Attention, Whisper tiny/small, Wav2Vec2-XLSR-53, and ResNet18 with EER/AUC evaluation. Tech: PyTorch, HuggingFace Transformers, torchaudio, librosa.
Intelligent Email Routing System
June 27, 2026 – Present
Classifies inbound customer emails by query type and brand, routing each automatically to the correct employee. Sole developer; eliminated manual email triage for a multi-brand client. Tech: n8n, Gmail API, LLM classification.
Lead Generation Automation with Domain-Specific Filtering
June 27, 2026 – Present
Telegram-triggered B2B lead discovery pipeline with multi-layer domain filtering, syncing qualified leads to Zoho CRM. Sole developer; reduced manual prospecting time significantly. Tech: n8n, Telegram Bot API, Zoho CRM API.
Intelligent Google Drive Organizer
June 27, 2026 – Present
LLM-based content classification to automatically move files from an inbox folder to the correct Drive location. Sole developer; eliminated manual file sorting. Tech: n8n, Google Drive API, LLM classification.
AI Chatbot for Salla E-Commerce Store
June 27, 2026 – Present
Conversational agent handling end-to-end order placement and customer queries in natural language on a Salla storefront. Sole developer; integrated Salla APIs with LLM backend. Tech: n8n, LLM APIs, Salla API, Webhooks.
Parallel Multi-Hop RAG over Financial & News Corpora
June 27, 2026 – Present
Multi-hop retrieval-augmented generation pipeline with query decomposition, hop conditioning, and answer aggregation; parallelized across chunking, embedding, indexing, and retrieval. Sole developer; benchmarked CPU speedup using Amdahl's law. Tech: Python, FAISS, Sentence-Transformers, Ollama (Qwen2.5), multiprocessing, FinQA, MultiHopRAG.
Multi-Platform AI Agent for MedSpa
June 27, 2026 – Present
Unified AI chatbot across Instagram, WhatsApp, and Gmail with live calendar-based appointment booking. Sole developer; integrated booking with LLM conversation flows. Tech: n8n, WhatsApp Cloud API, Instagram API, Gmail API.
Runner Up - S&P Global Automation Hackathon
FAST Data Science Society
June 1, 2026 – Present
Microsoft Office Specialist
Unknown
June 1, 2026 – Present
Speed Programming
FAST NU Computing Society
June 1, 2026 – Present
N8N Automation
Tashi Technologies Corp. (Pvt) Ltd
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with an AI Engineer role, particularly one focused on practical application and automation. The diversity of projects, from RAG pipelines to deepfake detection and various chatbot integrations, shows a broad interest and capability within the AI/ML domain. The experience with n8n and various APIs indicates a pragmatic, solution-oriented approach, which is valuable for roles requiring rapid prototyping and deployment. The academic background in Data Science further strengthens the fit. However, the experience is relatively short, and the focus on n8n might suggest a preference for low-code/no-code solutions, which may need to be balanced with deep engineering skills depending on the specific role requirements.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong problem-solving orientation, focusing on automating manual tasks and improving efficiency for clients. Their experience as a sole developer on multiple projects suggests high autonomy, initiative, and accountability. The 'Low-Resource Deepfake Audio Detection (Research)' project indicates an ability to work in a team setting and contribute to research-oriented tasks. The hackathon runner-up achievement also points to a competitive drive and ability to perform under pressure.