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AI Engineer with 2+ years in LLM applications & multi-agent frameworks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1 year of experience architecting production LLM applications, multi-agent frameworks, and real-time voice AI agents. Specialized in deploying scalable autonomous agentic workflows and production-grade RAG pipelines that maximize business efficiency, significantly reducing operational overhead and engineering costs by automating complex cross-business workflows.
FAST NUCES
Bachelor of Science · Artificial Intelligence
N/A – June 30, 2027
Melonlabs Limited, 16x9 Studio
Contract AI Engineer
January 1, 2025 – Present
India
Software Productivity Strategists (SPS)
AI Engineering Intern
September 1, 2024 – December 1, 2024
India
Nexium
AI & Backend Intern
June 1, 2024 – August 1, 2024
India
VisionSnip - AI Video Clipping & Subtitling Engine
January 1, 2025 – June 1, 2026
• Developed a video processing engine that automatically extracts clips from long-form content, reducing manual editing workflows utilizing OpenAI Whisper and FFmpeg. • Migrated the intensive processing architecture from a VPS to a serverless environment, optimizing compute usage during facial recognition and subtitle generation utilizing Python.
RoleSync AI - ATS Resume Optimizer
January 1, 2025 – June 1, 2026
• Architected AI-powered resume optimization platform with real-time keyword injection via DOM-scanning AI, scoring resumes against JDs and reducing manual editing time by 80%. • Implemented dynamic LaTeX PDF export pipeline and a zero-upload cover letter generator featuring strict prompt engineering for technical recruiter personas.
Semantic Image Search Multimodal Retrieval Engine
January 1, 2025 – June 1, 2026
• Engineered multimodal search pipeline using OpenAI CLIP for embedding generation and Pinecone for vector indexing, achieving <100ms retrieval latency across 50,000+ image dataset. • Implemented text-to-image, image-to-image, and hybrid search workflows, enabling nuanced discovery of semantically relevant visual content.
Cultural Fit Analysis
The candidate's project diversity, ranging from video processing and resume optimization to multimodal search and conversational agents, indicates a broad interest in applying AI across different domains. Their experience in contract and internship roles, coupled with personal projects, shows initiative and a drive for continuous learning and development. The focus on optimizing workflows and reducing costs aligns with a results-driven culture. The candidate's skills and project experience are highly relevant to an AI Engineer role, suggesting a strong cultural fit for a team focused on innovative AI solutions.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on efficiency, cost reduction, and automation, indicating a results-oriented approach. Their experience with diverse projects and technologies suggests adaptability and a proactive learning attitude. The descriptions of their work imply good problem-solving skills and an ability to translate complex technical requirements into practical solutions. However, without direct interaction or psychometric test results, a deeper assessment of soft skills like teamwork, leadership, and communication style is not possible.