AI Engineer with less than a year in LLM Applications & Backend Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Rishabh Kumar Pandey is an AI/ML Engineer with 11 months of experience in developing and deploying scalable backend systems and AI-powered solutions. Proficient in LLM Applications, Agentic Systems, Node.js, and AWS, he has a strong background in architecting real-time notification infrastructure, implementing secure payment systems, and integrating cloud AI services for diverse applications. His expertise includes optimizing content generation pipelines, managing distributed background processing, and building RAG-based analysis engines, demonstrating a comprehensive skill set in full-stack and AI engineering.
Barkatullah University Institute of Technology, Bhopal
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
NextDeal (nextdeal.in)
Software Developer - Backend & AI
December 1, 2025 – May 31, 2026
Bhopal, Madhya Pradesh, India
Cognic System Pvt. Ltd.
AI/ML Engineer – Intern (Paid)
August 1, 2025 – December 31, 2025
Jabalpur, Madhya Pradesh, India
Multi-Agent QOE Financial Analysis Engine
June 24, 2026 – Present
•Built agentic financial intelligence pipeline: LLM autonomously retrieves vectorized P&L context, reasons over GL data, and generates structured insights full memory management and tool-use implementation.
NextDeal - AI-Augmented Real Estate Backend
June 24, 2026 – Present
•Independently owned the full-stack backend lifecycle from LLM-powered listing automation and async queue architecture to VPS deployment, reverse proxy config, and Razorpay subscription management.
AI Voice Agent - Convivio Health Clinic (USA)
June 24, 2026 – Present
•Deployed autonomous voice agent as first point of contact for a US healthcare clinic multi-turn conversation handling, intelligent call routing, and agentic tool integrations via no-code automation platforms.
Cultural Fit Analysis
The candidate's portfolio demonstrates a strong alignment with an AI Engineer role, showcasing a passion for AI/ML, agentic systems, and backend development. The personal projects and internship experience indicate a self-starter mentality and a drive to build practical solutions. The breadth of technologies and project types suggests a versatile individual who can contribute to diverse technical environments. The focus on real-world applications (healthcare, real estate, financial analysis) indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, an ability to independently own and deliver complex features, and a proactive approach to leveraging AI for business solutions. The detailed descriptions suggest good communication of technical concepts. The diverse set of projects indicates adaptability and a willingness to tackle varied challenges.