Akash Deep Singh

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in voice biometrics and AI-driven solutions
  • Led significant projects for Fortune 500 clients
  • Passionate about real-world AI applications
Stackforce AI infers this person is a specialist in AI and voice biometrics for enterprise solutions.

Contact

Skills

Core Skills

Large Language Models (llm)Generative AiVoice BiometricsSpeech Recognition

Other Skills

UI automation workflowsUFO frameworkPython (Programming Language)Deep LearningArtificial Intelligence (AI)Machine LearningWeb DevelopmentStatistical ModelingJavaC++C

About

I have over half a decade of experience in the AI industry, working on technologies like Generative AI, Large Language Models, Speech Recognition, and Voice Biometrics. Most of my work has been in the IVR and contact center space, where I’ve developed models to improve customer interactions and streamline workflows. I’m passionate about using AI to solve real-world problems and build solutions that make a meaningful impact.

Experience

6 yrs 5 mos
Total Experience
1 yr 3 mos
Average Tenure
1 yr 3 mos
Current Experience

Hcltech

Technical Specialist

Mar 2025Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Remote

  • Transitioned from Microsoft to HCLTech after a re-org process for the whole team
  • Implemented and optimised UI automation workflows using the UFO framework to improve reliability and execution efficiency.
  • Worked on a Next-Generation Autonomous Agent Framework designed to independently plan, reason, and execute complex multi-step actions.
  • Fine-tuned Large Language Models (LLMs) for domain-specific tasks to improve accuracy, response quality, and task alignment.
UI automation workflowsUFO frameworkLarge Language Models (LLM)Generative AI

Microsoft

2 roles

Research Scientist 2

Mar 2024Mar 2025 · 1 yr · Remote

  • Promoted to Research Scientist 2 in the Cloud + AI organization at Microsoft:
  • Led the deployment of Gatekeeper (voice biometrics) models for major clients.
  • Recognized as the subject matter expert (SME) for decision inference challenges in Gatekeeper.
  • Developed RAG solutions across multiple frameworks (Copilot Studio, LangChain, PromptFlow) for both internal teams (SharePoint, Confluence, ADO) and external clients (websites, API data).
  • Collaborated with global teams to build a video understanding and querying solution, leveraging diverse data sources (transcripts, chat, key frames, attendance, abstracts, etc.).
  • Contributed to the development of an Autonomous Agents framework, enabling AI-driven live agent interactions in D365.
Voice BiometricsLarge Language Models (LLM)Python (Programming Language)Deep LearningGenerative AI

Research Scientist

Aug 2023Mar 2024 · 7 mos · Remote

  • Joined Microsoft as a full-time Research Scientist in the Cloud + AI organization following the acquisition of Nuance Communications:
  • Enhanced voice biometric security (Gatekeeper) by reducing false alarms and detecting spoof calls, including channel playback and synthetic speech.
  • Built benchmark models for clients lacking data and resources for SMDC (silent mode data collection).
  • Led innovative Gen-AI initiatives and participated in hackathons, demonstrating how RAG can improve video content understanding in meetings, conferences, and stand-up calls.
Voice BiometricsLarge Language Models (LLM)Python (Programming Language)Deep LearningGenerative AI

Nuance communications

Speech & Data Scientist

Dec 2022Aug 2023 · 8 mos · Bengaluru, Karnataka, India · Remote

  • Transitioned to full-time Speech Scientist in the Professional Services team, supporting global clients across the US, NA, EMEA, and APAC:
  • Led and delivered IVR solutions for Fortune 500 clients across multiple regions.
  • Developed and optimized voice biometric solutions, improving authentication and fraud detection KPIs for major industries, including banking, insurance, and healthcare.
  • Spearheaded innovative projects leveraging Gen-AI to automate KPI reporting workflows for IVR and contact centers.
Speech RecognitionVoice BiometricsLarge Language Models (LLM)Python (Programming Language)Deep LearningGenerative AI

Servion global solutions

Software Engineer

Nov 2021Dec 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

  • Served as a Speech and Data Scientist (contract) at Nuance Communications, working closely with an offshore US-based team:
  • Enhanced IVR solutions for Fortune 500 clients, optimizing performance and efficiency.
  • Collaborated across teams to refine best practices for IVR analytics and reporting.
  • Led innovation initiatives, leveraging predictive models to accelerate client revenue generation.
Speech RecognitionPython (Programming Language)Deep Learning

Simbo.ai

2 roles

AI Engineer II

Promoted

Apr 2021Jul 2021 · 3 mos · On-site

  • Enhanced the end-to-end ASR pipeline for automating EHR workflows:
  • Developed techniques to filter out noise and foreign language content from transcriptions.
  • Optimized the workflow to minimize latency and enable efficient cloud hosting.
  • Analyzed speech input and voice activity detection to identify key patterns and improve system accuracy.
Speech RecognitionLarge Language Models (LLM)Python (Programming Language)Deep Learning

AGI Software Engineer I

Jun 2019Apr 2021 · 1 yr 10 mos · On-site

  • Specialized in Automatic Speech Recognition (ASR) for the Medical Domain:
  • Curated and transcribed medical datasets for training and fine-tuning acoustic and language models.
  • Led the development of end-to-end ASR streaming architecture for the medical domain.
  • Evaluated acoustic and language models using benchmarks like DeepSpeech and Wav2Vec.
  • Designed and delivered a hierarchical language model optimized for medical domain EHR data.
Speech RecognitionLarge Language Models (LLM)Python (Programming Language)Deep Learning

Microland limited

Technology Intern

May 2018Jul 2018 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Automated data visualization using Power BI by integrating data from Microsoft Intune.
  • Developed and optimized PowerShell scripts for generating actionable insights and scheduling reports.
  • Enhanced efficiency in reporting and analysis for Azure workloads.

Education

Motilal Nehru National Institute Of Technology

Bachelor of Technology (B.Tech.) — Computer Science and Engineering

Jan 2015Jan 2019

Stackforce found 100+ more professionals with Large Language Models (llm) & Generative Ai

Explore similar profiles based on matching skills and experience