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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/ML 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%. Poojankumar possesses strong skills in LangChain, LangGraph, CrewAI, Python, FastAPI, and various MLOps tools, demonstrating expertise in developing and optimizing AI solutions for real-world applications.
Chandubhai S Patel Institute of Technology(CSPIT) - CHARUSAT University
B.Tech · Information Technology
June 1, 2020 – May 1, 2024
Enclavia.AI
AI/ML Engineer
December 1, 2025 – Present
USA
Sahajanand Technology Pvt. Ltd. (R&D Department)
AI/ML Engineer
December 1, 2023 – November 1, 2025
Surat, Gujarat, India
AI Travel Planner
June 1, 2026 – June 1, 2026
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 ProjectAdaptive Memory Optimization Engine
June 1, 2025 – June 1, 2026
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 ProjectOracle Cloud GenAI Professional (1Z0-1127-25)
Oracle
June 1, 2026 – Present
AWS 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
Andrew Ng
June 1, 2026 – Present
Azure AI Fundamentals (AZ-900)
Azure
June 1, 2026 – Present
MLOps Bootcamp
Unknown
June 1, 2026 – Present
SQL -Intermediate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from adaptive memory optimization to AI travel planners, and their experience in both government welfare and clinical trial systems, indicate a broad applicability of skills and a willingness to tackle varied challenges. Their involvement in competitive programming and certifications suggests a drive for continuous improvement and a strong technical foundation, aligning well with a culture of innovation and excellence. The role alignment with 'AI Engineer' is excellent, given their specialized experience in Agentic AI, LLMs, and MLOps.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and ownership, as evidenced by leading end-to-end development and handling direct client requirements. Their experience in optimizing systems for performance and cost savings, coupled with real-time monitoring, indicates a proactive and operationally focused mindset. The diversity of projects and technologies suggests adaptability and a continuous learning attitude.