AI Engineer with 2+ years in LLM Orchestration & RAG Architectures
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Full Stack AI Developer and Applied AI Lead specializing in LLM orchestration, RAG architectures, and workflow automation. A 2024 graduate with a proven track record of transforming fuzzy human requests into structured execution pipelines using Python and native APIs (Gemini/Anthropic). Expert at building reliable, framework-agnostic orchestration systems that bypass the bloat of enterprise frameworks to optimize latency, accuracy, and operational efficiency.
Hindusthan Institute of Technology
B.Tech · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
IDA Automation Private Limited
Data Entry Analyst (Automation Focus)
November 1, 2025 – January 31, 2026
India
Logic Branding Studio
Applied AI Lead
January 1, 2024 – Present
India
ORMA AI Tutor
June 7, 2026 – Present
• Architected and deployed a domain-specific AI tutoring platform leveraging Python, RAG methodologies, and Google AI Studio for complex backend LLM orchestration. • Integrated Gemini APIs for real-time educational assistance, ensuring accurate context retrieval and structured reasoning. • Utilized Supabase for scalable vector storage and database management, bypassing heavy orchestration frameworks for highly reliable, low-latency execution. • Prototyped the natural language-driven UI using Google Stitch to validate the end-to-end architecture.
View ProjectCultural Fit Analysis
The candidate's experience as an 'Applied AI Lead' and the 'ORMA AI Tutor' project demonstrate initiative and a practical application of AI skills. The focus on building 'framework-agnostic orchestration systems' and optimizing for efficiency suggests a proactive and innovative approach, which could be a good cultural fit for a dynamic AI engineering team. The project diversity, though limited to one detailed AI project, shows a clear alignment with AI development. The candidate's recent graduation and current role indicate a strong drive to apply learned skills in real-world scenarios.
Soft Skills & Operational Fit
The candidate's resume highlights a focus on reducing turnaround times, ensuring data integrity, and optimizing efficiency, suggesting a strong operational fit and a results-oriented approach. The description of 'bypassing the bloat of enterprise frameworks' indicates a pragmatic and efficient problem-solving mindset. However, without specific psychometric or English test results, a comprehensive assessment of soft skills like teamwork, stress handling, or communication clarity beyond written descriptions is not possible.