Our Team
Meet the ApexNeural team of AI Context Engineers building transformative AI-powered solutions.
Parmeet Singh Talwar
AI Context Engineer
Parmeet is an AI Context Engineer specializing in building intelligent, production-ready AI systems that tightly integrate backend engineering with agentic AI workflows. He has strong expertise in designing scalable APIs, architecting automation-first systems, and integrating LLMs into real-world applications. His work spans full-stack development and advanced AI pipelines, including web scraping, OCR and document intelligence, image generation, and video generation. Parmeet focuses on transforming complex AI capabilities into reliable, maintainable systems that can be deployed and scaled in production environments.
Annie Siri
AI Context Engineer
Annie is a Full-Stack & AI Engineer experienced in developing agentic AI systems, API-driven applications, and automation workflows. She works extensively with LLM integrations and video/audio AI pipelines, building production-ready backend services paired with modern frontend frameworks. Her focus is on delivering end-to-end AI solutions that are scalable, efficient, and practical for real-world use.
Likhith Kumar Masura
AI Context Engineer
Likhith is an AI Context Engineer with expertise in architecting agentic AI systems and full-stack SaaS platforms. He specializes in LLM integrations, containerized deployments, and designing end-to-end AI pipelines for video and audio processing. His work emphasizes building robust production APIs and scalable systems that support complex AI workflows.
Vedant Pai
AI Context Engineer
Vedant is an AI Context Engineer skilled in building agentic AI systems alongside dynamic, responsive frontend experiences and scalable backend APIs. He has strong experience in LLM integrations and designing complete AI pipelines, delivering full-stack solutions that balance performance, usability, and intelligent automation.
Rahul Patil
AI Context Engineer
Rahul is an AI Context Engineer experienced in architecting agentic AI systems, scalable backend services, and full-stack SaaS platforms. His work includes LLM integrations, automation systems, OCR and document processing, web scraping, and fine-tuned AI models. He focuses on delivering production-ready AI solutions that solve real business problems.
Devulapelly Kushal Kumar Reddy
AI Context Engineer
Kushal is an AI Context Engineer focused on building production-grade agentic AI systems that connect scalable backend services with real-world automation. He works across full-stack development, LLM integrations, prompt engineering, and document AI pipelines to deliver reliable, maintainable AI-powered applications.
Shubham Rathod
AI Context Engineer
Shubham is an AI Context Engineer specializing in end-to-end agentic AI systems and full-stack SaaS development. He has hands-on experience across the complete AI lifecycle, including data preprocessing, model building, deployment, and monitoring. His expertise spans computer vision, deep learning, automation workflows, and LLM-powered tools.
Praveen Jogi
AI Context Engineer
Praveen is an AI Context Engineer focused on building production-ready Agentic AI and Generative AI applications. He specializes in autonomous agents, LLM integrations, vector databases, and AI workflow orchestration, with an emphasis on evaluation, observability, and optimization of AI systems.
Akshaay
AI Context Engineer
Akshaay is an AI Context Engineer experienced in designing agentic AI systems, LLM-powered applications, and automation workflows. He combines modern backend engineering with no-code and low-code automation approaches to deliver production-ready AI solutions deployed on scalable infrastructure.
Ayush
AI Systems Architect
Ayush is a senior AI Systems Architect with over 12 years of experience designing and leading end-to-end architecture for AI-first and SaaS platforms. He has built scalable backend systems across HRM, CRM, ERP, and enterprise solutions, and specializes in architecting LLM-driven products such as autonomous AI agents, internal copilots, and large-scale automation tools. He applies advanced agentic design patterns including planning, reflection, tool use, and memory, while mentoring teams and guiding long-term technical strategy.
Hansika
AI Solutions Architect
Hansika specializes in designing and implementing intelligent AI systems, from agentic platforms to RAG pipelines. She leads complex enterprise deployments and has architected solutions for data labeling, document processing, and knowledge management.
Sunnykumar Lalwani
Principal Engineer - Backend and Systems Architecture
Sunny is a Principal Engineer and Systems Architect with over 12 years of experience designing and delivering high-performance, scalable web and backend systems. At ApexNeural, he leads core engineering initiatives while remaining deeply hands-on across frontend architecture, backend services, cloud infrastructure, and DevOps automation. He specializes in clean system architecture, API design, authentication systems, background processing, and AI-assisted workflows, while also mentoring engineers and driving long-term technical strategy.
Ramya
Senior Engineer - Integrations and Applied AI
Ramya is a Senior Engineer with over 12 years of experience building scalable, production-grade AI-driven and web applications across healthcare, fintech, and enterprise domains. She specializes in backend engineering, system integrations, and applied AI, with deep expertise in multi-agent systems, LLM-powered workflows, RAG pipelines, API orchestration, payment integrations, and document intelligence pipelines involving OCR and structured data extraction.
Majeed Zeeshan
AI Context Engineer
AI Context Engineer specializing in agentic AI system architecture, scalable backend APIs, and full-stack SaaS platforms. Experienced in LLM integration, containerized deployments, and building production-grade AI pipelines for audio and video processing