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AI Engineer with 2+ years in Generative AI & LLMOps
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Assessing your cultural and operational fit
Agentic AI Engineer with 2 years of hands-on experience building production agents, multi-agent orchestration systems, and LLM-powered pipelines with Reinforcement Learning and custom Meta Learning. Led AI deployments that scaled from 50K to 120K users, cut inference latency by 33%, and reduced operational costs by 15%.
Chandubhai S Patel Institute of Technology(CSPIT) - CHARUSAT University
B.Tech · Information Technology
August 1, 2020 – June 30, 2024
Enclavia.AI
AI/ML Engineer
December 1, 2025 – Present
USA
Sahajanand Technology Pvt. Ltd.
AI/ML Engineer
December 1, 2023 – November 1, 2025
Surat, Gujarat, India
Adaptive Memory Optimization Engine
June 1, 2026 – Present
Built an adaptive memory optimization engine that learns what information agents should retain, compress, promote, or discard through reinforcement learning. Combined episodic, semantic, and graph-based memory structures with policy learning to improve retrieval quality, reduce memory bloat, and enhance long-horizon reasoning performance in autonomous agent systems.
View ProjectAI Travel Planner
June 1, 2026 – Present
Containerized Streamlit app on GCP VM with Minikube orchestration. Deployed ELK Stack on Kubernetes for centralized real-time log aggregation; automated with Filebeat and kubectl/GitHub integration.
View ProjectAWS ML Associate (In Progress)
AWS
June 1, 2026 – Present
Complete Agentic AI & LLM Engineering (Advanced)
Unknown
June 1, 2026 – Present
LangChain & LangGraph Deep Learning Specialization by Andrew Ng
Coursera
June 1, 2026 – Present
Oracle Cloud GenAI Professional (1Z0-1127-25)
Oracle
June 1, 2026 – Present
MLOps Bootcamp
Unknown
June 1, 2026 – Present
SQL -Intermediate
Unknown
June 1, 2026 – Present
Azure AI Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from adaptive memory optimization to AI travel planners and healthcare chatbots, demonstrates a broad interest in applying AI across different domains. Their experience in both a startup (Enclavia.AI) and an R&D department (Sahajanand Technology) suggests adaptability to various work environments. The certifications in multiple cloud platforms (Oracle, Azure, AWS) and specialized AI/ML areas indicate a continuous learning mindset. Competitive programming achievements (LeetCode, CodeChef, Codeforces) further highlight a drive for problem-solving and technical excellence, which generally aligns well with innovative tech cultures.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in project ownership, direct client interaction, and optimizing systems for performance and cost, indicating strong operational fit and problem-solving skills. The description of building a 'reusable Agentic AI SaaS template' suggests a product-oriented mindset. While specific soft skill assessments are not available, the project and work experience descriptions imply strong initiative and technical leadership.