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AI Research Engineer with 2+ years in LLM-powered applications & RAG pipelines.
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Generative AI Engineer with 2+ years of experience building LLM-powered applications, RAG pipelines, and AI agents across conversational AI, research automation, and industrial systems. Skilled in prompt engineering, LangChain, vector databases, and FastAPI, with end-to-end ownership from API design and model integration to Docker-based deployment on cloud infrastructure. Proficient in Python, LangChain, OpenAI/Groq APIs, FastAPI, Flask, RAG architectures, FAISS/Vector Stores, Docker, and AWS.
University of Engineering & Technology (UET), Lahore
BS in Computer Engineering · Computer Engineering
August 1, 2023 – June 30, 2027
Insight Pilot AI
Multi-Agent Research Platform
August 1, 2025 – Present
India
Dpoint Technologies Ltd
Full Stack Research Engineer
July 1, 2025 – Present
Cyprus
Bytewise Limited
Machine Learning Fellow
June 1, 2024 – September 1, 2024
Lahore, Punjab, Pakistan
Datalabb
Full Stack ML Engineer
March 1, 2024 – February 1, 2026
Lahore, Punjab, Pakistan
NeuroAI
June 1, 2025 – Present
Deployed full-stack ML platform on AWS using Docker containers, supporting 5+ active researchers; reduced model testing time from 2-3 days to minutes via intelligent backend job orchestration.
View ProjectAudio-Analyzer
August 1, 2024 – June 1, 2026
Sole developer of a secure full-stack app; integrated LLM APIs supporting diarization, transcription, and audio feature extraction.
View ProjectLawyer Assistant
February 1, 2024 – June 1, 2026
Engineered an LLM-powered legal assistant with a RAG pipeline over large document corpora for case research and document summarization, using semantic VectorDB retrieval. Connected a responsive React frontend with a Flask backend via clean REST API contracts, leveraging LangChain for LLM-powered workflows and prompt design.
View ProjectMadina Visiting Assistant Chatbot
January 1, 2024 – June 1, 2026
Developed an intelligent WhatsApp chatbot powered by LLMs to guide visitors on religious sites, prayer timings, and local etiquette through carefully designed prompts. Integrated Twilio API with a Flask backend to enable multilingual, real-time conversational messaging on WhatsApp Business via webhook-based architecture.
CraneGPT
April 1, 2023 – June 1, 2026
Built a goal-driven conversational AI agent to assist industrial crane operators, retrieving precise answers from operation manuals and troubleshooting guides via a RAG pipeline instead of generic LLM responses.
TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG.
eNeuro
January 1, 2026 – Present
Multimodal EEG-Based Classification of Alzheimer's and MCI Using Olfactory Event-Related Potentials and Transformers.
Brain-Apparatus Communication
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including conversational AI, legal assistants, industrial chatbots, and ML platforms, indicates adaptability and a broad interest in applying AI across various domains. Their experience in both full-time and internship roles, coupled with academic publications, suggests a strong drive for continuous learning and contribution, which aligns well with a research-oriented culture. The remote work experience also points to flexibility and self-management.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing data pipelines and achieving significant latency reductions. Their experience in leading end-to-end project delivery and working independently on AI features suggests a proactive and self-sufficient operational fit. The involvement in multi-agent AI platforms and industrial monitoring indicates an ability to work on complex, impactful systems.