Aditya Vardhan

Co-Founder

Bengaluru, Karnataka, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven automation and real-time systems.
Proven track record in building scalable cloud-native architectures.
Hands-on experience in speech recognition and NLP technologies.

Stackforce AI infers this person is a SaaS expert with a focus on AI and real-time communication technologies.

Contact

Skills

Core Skills

Technology Strategy & Product VisionModel Fine-tuning & Custom Ai Model TrainingLarge Language Models (llm)

Other Skills

Acoustic Signal ProcessingNLP & Semantic UnderstandingSIP / VoIP ProtocolsAWS / GCP / Azure Cloud ArchitectureDenormalized Data PipelinesComputer VisionMLOpsMLflowLLaMAOpenAI APIPrompt EngineeringLangChainDocker ProductsTensorFlowPyTorch

Experience

1 yr 10 mos

Total Experience

1 yr 4 mos

Average Tenure

9 mos

Current Experience

Callki

Co-founder and CTO

Aug 2025 – Present · 9 mos · Greater Bengaluru Area · On-site

Leading Callki’s engineering and technology strategy to build ultra-low-latency, real-time voice automation systems for customer support at scale. Driving the design of high call concurrency architectures, denormalized data pipelines, seamless multi-system integrations, and high-throughput cloud-native infrastructure (AWS/GCP/Azure). Passionate about scalable, resilient systems, real-time streaming, and AI-driven automation, empowering enterprise-grade workloads and engineering teams to deliver at scale.

Technology Strategy & Product VisionModel Fine-Tuning & Custom AI Model TrainingAcoustic Signal ProcessingNLP & Semantic UnderstandingSIP / VoIP ProtocolsAWS / GCP / Azure Cloud Architecture+30

Barracuda

2 roles

Associate Software Developement Engineer

Jul 2024 – Nov 2025 · 1 yr 4 mos

TensorFlowLarge Language Models (LLM)

Software Engineer Intern

Mar 2024 – Jun 2024 · 3 mos

OpenAI APILinux

Vocab.ai

Project Intern

Jul 2023 – Sep 2023 · 2 mos · IIIT Dharwad,Karnataka · On-site

Completed an internship focused on Automatic Speech Recognition (ASR) and transcription tools, gaining hands-on experience in developing and optimizing acoustic models for speech-to-text technologies.

TensorFlowLarge Language Models (LLM)