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AI Engineer with 4+ years in LLMs, RAG & Agentic Systems
Senior AI Engineer with 5+ years of experience building and deploying production-grade LLM and agentic systems end-to-end, from model development to scalable infrastructure and real-world deployment. Proven track record of delivering high-impact AI systems under pressure, including platforms handling 100K+ automated interactions and generating $2M+ annual revenue. Strong ownership mindset with experience working in fast-paced, high-intensity environments, often operating without predefined roadmaps and consistently shipping systems that exceed performance and business expectations. Experience working directly with founders and stakeholders in high-intensity environments, delivering systems from concept to production.
Comsats University Islamabad (CUI)
Bachelors · Computer Science
N/A – Present
DEVSINC
Software Engineer
October 1, 2024 – Present
India
AMROOD LABS
Associate Software Engineer
February 1, 2024 – October 1, 2024
India
2ndPlace
Lead Engineer
January 1, 2022 – February 1, 2024
India
Speculo.ai
June 13, 2026 – Present
Architected and scaled an AI-driven outreach system processing 117K+ emails and 10K+ AI-driven voice calls within 6 hours. Built autonomous agent workflows for lead qualification, decision-making, and follow-ups, contributing to $2M+ annual revenue. Designed async orchestration pipelines for high-throughput AI workloads under strict latency and reliability constraints. Developed voice AI agents enabling real-time interaction and intelligent routing of high-intent leads. Owned system performance, scaling, and production reliability in high-intensity environments.
Smart Advocate
June 13, 2026 – Present
Built and deployed a production-scale legal AI system processing thousands of unstructured documents for automated understanding and chronology generation. Led LLM fine-tuning on multi-GPU infrastructure, curating high-quality datasets and implementing LoRA, enabling precise extraction of complex legal entities and clauses. Designed and deployed a multi-agent system using LangGraph with Guardrails for OCR, document classification, and structured information extraction, creating accurate event chronologies from thousands of unstructured documents. Engineered a classification system handling dozens of classes with minimal token usage, reducing API costs and latency while maintaining high accuracy.
ConvoPilot
June 13, 2026 – Present
Modular RAG Framework: Developed a scalable, multi-tenant architecture for building, testing, and deploying RAG systems with user-controlled performance. Security & Evaluation: Integrated PII redaction, evaluation dashboards, and A/B testing for multiple LLMs and vectorization strategies, ensuring compliance and reliability.
Toon MCP Server
June 13, 2026 – Present
Model Context Protocol (MCP): Designed and published a Python package enabling LLMs (e.g., Claude) to interact with Toon smart thermostats via JSON conversion. AI-IoT Integration: Reduced token usage by 30-60% through optimized prompt-wrapping, improving inference efficiency and context utilization for LLM agents.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from legal AI systems to AI-driven outreach and travel platforms, demonstrates adaptability and a broad interest in applying AI across different domains. Their experience in leading development, architecting systems, and even founding a platform (2ndPlace) indicates an entrepreneurial spirit and a willingness to take initiative, which aligns well with innovative and growth-oriented cultures. The breadth of skills and technologies used across various projects also suggests a continuous learning mindset and versatility.
Soft Skills & Operational Fit
The candidate's resume highlights a strong ownership mindset, experience in fast-paced environments, and a track record of delivering systems under pressure. These indicate a high degree of proactivity, resilience, and ability to operate effectively in dynamic, high-intensity settings, which are crucial for senior roles. The emphasis on delivering systems from concept to production and working directly with founders suggests strong operational fit and stakeholder management capabilities.