Our Team

Meet the ApexNeural team of AI Context Engineers building transformative AI-powered solutions.

Parmeet Singh Talwar

Parmeet Singh Talwar

AI Context Engineer

Parmeet engineers context-driven AI that combines LLMs with structured backend architecture and multi-platform integrations. He builds AI-powered systems with secure OAuth, fine-tunes open-source LLMs, and integrates image and video generation into production pipelines. Focused on clean design and system reliability.

Annie Siri

Annie Siri

AI Context Engineer

Designing end-to-end AI platforms that integrate OpenAI, Claude Sonnet, and Nano Banana 2 with retrieval pipelines and secure backends. Emphasis on modular FastAPI, async data layers, and containerized cloud deployments.

Likhith Kumar Masura

Likhith Kumar Masura

AI Context Engineer

Building real-world AI systems with LLM integrations, RAG pipelines, and FastAPI backends. Designs modular, multi-tenant SaaS systems with secure API-first development, RBAC, and containerized deployments.

Vedant Pai

Vedant Pai

AI Context Engineer

Designs and deploys agentic AI that integrates LLM reasoning with structured backends. Work spans multi-agent orchestration (Planner/Executor/Verifier), ReAct pipelines, RAG with validation, and microservice deployments with JWT/RBAC.

Rahul Patil

Rahul Patil

AI Context Engineer

Rahul engineers context-aware AI systems that improve model reliability and decision quality. He focuses on RAG pipelines, structured prompt flows, and multi-agent orchestration to ensure AI systems are grounded, secure, and production-ready.

Devulapelly Kushal Kumar

Devulapelly Kushal Kumar

AI Context Engineer

Kushal architects intelligence infrastructure that turns AI from a feature into a system. He designs multi-agent platforms combining backend engineering, structured reasoning, and enterprise governance. Work spans agentic orchestration, secure LLM integrations, and scalable cloud-native deployments.

Shubham Rathod

Shubham Rathod

AI Context Engineer

AI Context Engineer architecting large-scale AI automation at Apexneural. Designs high-throughput LLM content engines, resilient data pipelines, real-time computer vision (e.g. YOLO at 30 FPS), and multi-agent frameworks. Delivered 75% latency reduction and Jira/Slack enterprise automation.

Praveen Jogi

Praveen Jogi

AI Context Engineer

Building real-world AI with LLMs, RAG pipelines, and clean backends. Works with vector databases and intelligent agents for context-aware applications. Designs modular, scalable systems with secure implementation and reliable cloud deployment.

Akshaay

Akshaay

AI Context Engineer

Developing real-world AI applications with LLMs and structured backends. Creates context-aware solutions using modern AI frameworks. Architecting clean, modular systems for maintainability and performance.

Ayush

Ayush

AI Systems Architect

Ayush is a Senior AI Systems Architect with 12+ years of experience building AI-first and SaaS platforms. He specializes in LLM-driven products, autonomous AI agents, and scalable enterprise systems using agentic design patterns like planning, reflection, tool use, and memory.

Hansika

Hansika

AI Context Engineer

Building deployable AI systems using LLMs, RAG pipelines, and modular backend architectures. Focused on clean system design, secure implementation, and scalable deployment practices.

Sunnykumar Lalwani

Sunnykumar Lalwani

Principal Engineer - Backend and Systems Architecture

12+ years designing high-performance backend and distributed systems. Expertise in scalable system design, DevOps automation, and cloud-native infrastructure. Strong focus on AI-powered applications, LLM integrations, and data-driven workflows. Combines hands-on full-stack work with architectural governance.

Ramya

Ramya

Senior Engineer - Integrations and Applied AI

12+ years building scalable AI-driven and web applications across healthcare, fintech, and enterprise. Deep expertise in multi-agent systems, LLM workflows, RAG pipelines, API orchestration, payment integrations, and document intelligence (OCR and structured extraction).

Majeed Zeeshan

Majeed Zeeshan

AI Context Engineer

Building real-world AI, LLM-driven systems, RAG architectures, and agent-based workflow automation. Builds scalable, secure, API-first platforms with modern backend and cloud-native technologies.