Anil Kumar Singh

Engineering Manager

Noida, Uttar Pradesh, India11 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

15+ years in embedded systems and VoIP platforms.
Led cross-functional teams in firmware development.
Innovated AI-driven voice interfaces with LLM integration.

Stackforce AI infers this person is a Telecommunications and AI specialist with expertise in embedded systems and VoIP technologies.

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Skills

Core Skills

Embedded SystemsVoipArtificial Intelligence (ai)

Other Skills

Project ManagementVoIP protocols SIPNetworkingEmbedded SoftwarePython FlaskInternet Protocol Suite (TCP/IP)Voice over IP (VoIP)Software RequirementsSecure Shell (SSH)DesignSIP TrunkingReal-Time Transport Protocol (RTP)Network SecurityFTPTFTP

About

Persistent and detail-oriented System Architect with 15+ years of experience designing and delivering robust embedded systems, VoIP platforms, and real-time media pipelines. Proven track record in leading cross-functional engineering teams, architecting scalable firmware solutions, and driving full lifecycle product development. Recently expanded into AI-driven voice interfaces, integrating LLMs, RAG agents, Redis, and SIP-based real-time communication.

Experience

11 yrs 7 mos

Total Experience

3 yrs

Average Tenure

4 yrs 5 mos

Current Experience

Nec technologies india pvt. ltd

2 roles

Sr. Tech Manager

Promoted

Jan 2022 – Present · 4 yrs 5 mos · Noida, Uttar Pradesh, India · Hybrid

Led firmware development for NEC VoIP phones, managing a team of 11+ engineers across
development and QA
Architected embedded platforms integrating open-source modules (wpa_supplicant, CURL,
strongSwan, openLDAP)
Designed services including HTTP/HTTPS clients/servers, backend web services, and Bluetooth profiles
(SPP, HFP)
Implemented call control scenarios, keypad handling, XML parsing, GUI/touch panel interfaces
Conducted risk analysis, feature planning, and sprint-based delivery with global coordination
Supported legacy features and optimized system performance across multiple VoIP product lines
Received multiple awards for design excellence and team leadership
POC for a real-time conversational agent using STT/TTS, RAGflow, and SIP interface
Validated ingest resilience and codec compatibility using synthetic RTP sources
Installed and configured LLMs locally using llama and Python Flask; built RAG pipelines for contextual
response generation
Developed RESTful RAG agents and integrated them into Redmine. BugZilla systems
Engineered MCP server to orchestrate AI workflows, media handling, and agent logic