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Software Engineer with less than a year in AI/GenAI & Full-Stack Development
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Assessing your cultural and operational fit
Software Engineer with production experience shipping full-stack features and AI agent workflows using MERN, Next.js, FastAPI, and LangGraph. Deployed agentic systems integrating LLM APIs (Gemini, OpenAI) and third-party services (Twilio, Vapi) end-to-end. Designs, tests, and evaluates prompts across Gemini, OpenAI, and Claude to improve LLM output reliability in live environments.
FAST-NUCES, Islamabad
Bachelor of Science · Software Engineering
August 1, 2022 – June 30, 2026
Elevvo Pathways
AI Intern
August 1, 2025 – September 1, 2025
India
Developers Hub Corporation
Full Stack Development Intern
June 1, 2025 – July 1, 2025
India
ARIA - Multi-Scenario Outbound Voice AI Agent
June 1, 2026 – Present
Integrated Vapi and Twilio to build a low-latency STT→LLM→TTS pipeline, automating 5 outbound campaign types (appointment confirmation, lead qualification, payment follow-up) in production. Developed a production-ready system with a Next.js frontend on Vercel and an asynchronous FastAPI backend on Railway. FastAPI serves as the core orchestrator, leveraging non-blocking httpx for external Vapi requests to ensure efficient API management and real-time webhook event processing.
GATeR - Graph-Aware Test Repair
June 1, 2026 – Present
Engineered an automated system fusing Knowledge Graphs and Vector Search into an advanced RAG pipeline, producing context-aware code repairs through a modular multi-component AI architecture, validating each patch with PyTest to confirm it resolved failing tests without regressions. Designed structured prompts for LLM patch generation, iterating on output quality until fixes were semantically correct and syntax-safe.
Intelligent Research Canvas
June 1, 2026 – Present
Designed 4 specialized AI agents (Graph Extractor, Insight Analyzer, Context Chat, LaTeX Formatter) orchestrated using LangGraph with streaming Gemini 2.0 Flash and Gemini embeddings for semantic retrieval, transforming PDFs into queryable knowledge graphs deployed on Google Cloud Run.
Resilience Coach Agent
June 1, 2026 – Present
Engineered a stateful, end-to-end conversational system leveraging LangGraph for multi-turn reasoning and Gemini for sentiment evaluation, delivered via a modular FastAPI backend and a responsive React.js frontend. Built a ChromaDB vector pipeline using Gemini embeddings for long-term conversational memory, enabling context-aware multi-turn dialogue across sessions for a mental health and wellness AI use case.
AWS Academy Cloud Foundations
AWS
June 1, 2026 – Present
OCI 2025 Generative AI Professional
Oracle
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest and hands-on experience in cutting-edge AI and full-stack development, aligning well with an innovative and technically driven culture. The diversity of personal projects, from voice AI agents to graph-aware test repair and conversational systems, indicates a curious and self-motivated individual. Their internship experiences, though short, demonstrate an ability to contribute to production environments and learn new technologies. The focus on building end-to-end systems suggests a product-oriented mindset. The candidate's educational background in Software Engineering further reinforces a solid foundation for a technical role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in designing and optimizing AI pipelines. Their ability to work with various technologies and integrate different systems suggests adaptability and a proactive approach. The project descriptions indicate a focus on delivering production-ready solutions, which aligns with operational effectiveness. However, without direct interview data, specific soft skills like teamwork, leadership, or conflict resolution cannot be fully assessed.