About
Results-driven Computer Science engineer skilled in building production-grade AI systems and full-stack applications. Experienced in architecting LLM-powered agents, RAG pipelines, and scalable REST APIs with clean, intuitive interfaces. Seeking a Software Engineer / AI Engineer role to deliver reliable, high-impact solutions that scale.
Skills & Expertise (40)
Work Experience
Full-Stack & AI Engineer
NeuralDesk
Feb 2026 - Apr 2026
Built a production-grade Retrieval-Augmented Generation (RAG) platform enabling natural-language search across 10,000+ enterprise documents with 94% answer relevance, cutting information-lookup time by 85%. Engineered a hybrid semantic + keyword retrieval pipeline (pgvector + BM25) with cross-encoder re-ranking, improving answer precision by 34% over baseline vector search. Designed a scalable FastAPI microservice backend with Redis caching and async token streaming, sustaining 500+ concurrent requests at sub-300 ms p95 latency. Developed a responsive React + TypeScript UI with real-time streaming and citation highlighting; containerized with Docker and deployed on AWS ECS via GitHub Actions CI/CD.
AI Engineer
Agentic AI System
Nov 2025 - Dec 2025
Engineered an autonomous multi-agent system (LangChain) that researches companies and generates hyper-personalized outreach emails, reducing manual research time by 10x (20 min → 2 min). Integrated real-time web search (Serper API) to extract company news, tech stack, and hiring signals, and built an LLM subject-line optimizer producing A/B variants with a 68% predicted reply rate. Optimized Groq inference with caching (45s → 8s per email) and shipped a Streamlit dashboard supporting 100+ emails/batch with DOCX/CSV export (50+ beta users in week 1).
Team Lead
AccessBot
Sep 2024 - Nov 2024
Architected a multimodal accessibility chatbot (text, voice, and ASL-gesture inputs via TensorFlow vision) serving 15+ government benefit workflows with 92% intent-classification accuracy. Integrated AWS Lex voice-to-text with confidence-based human escalation (<75%), reducing false responses by 78%; connected 8 government APIs for real-time eligibility checks (15 min → 3 min). Built an accessibility-first React frontend (voice feedback, high-contrast, eye-tracking) and validated with 45 users at 88% satisfaction.
Education
Bachelor of Engineering in Computer Science and Engineering - Karpagam Institute of Technology
2022 - 2026 · Afghanistan
Certifications
Data Structures and Algorithms using Java — Elite
NPTEL · 2024
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Skills (40)
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