A

Anshu Singh

Software Engineer

Bengaluru, Karnataka, India5 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable cloud solutions.
  • Developed AI chatbot enhancing student learning.
  • Hands-on experience with cross-functional teams.
Stackforce AI infers this person is a Full-Stack Engineer specializing in AI and cloud solutions for EdTech and Consumer Electronics.

Contact

Skills

Core Skills

Cloud SolutionsDistributed SystemsArtificial IntelligenceMachine LearningData ManagementSoftware DevelopmentAutomationFull-stack DevelopmentMobile Development

Other Skills

API DevelopmentAPI IntegrationAccess ManagementAgile MethodologiesAlexaAmazon EC2Amazon Web Services (AWS)Android DevelopmentAutomated cleanupAutomation ToolAzureBack-End Web DevelopmentBootstrapC (Programming Language)Clean Coding

About

I am a full-stack engineer with 4 years of experience, passionate about Generative AI, distributed systems, and building scalable products in fast-paced environments. I thrive in cross-functional teams and enjoy taking ownership of products from ideation to launch. Currently at Amazon's Alexa organization, I'm working on initiatives to enable LLM-powered Alexa as a global agent across different partner devices. I've built cloud and native solutions that handle millions of daily interactions across TVs, speakers, and wearables. The endpoints of our app include industry partners like Samsung, LG, Philips, Bose, Sonos etc. I have contributed to Fire TV operating system development for global manufacturers like TCL, Xiaomi, and Panasonic, implementing model-specific features that improved customer satisfaction.
 At Microsoft, I built "Study Buddy," a RAG-based LLM chatbot using FAISS vector DB that revolutionized student learning experiences. The system features dynamic vector database updates, automatically processing and indexing new course content including videos and images, while maintaining database efficiency through automated cleanup. We successfully launched it for multiple partners, including UNICEF.
 Link: https://communitytraining.microsoft.com My journey in tech has given me hands-on experience with building production systems across cloud platforms (Azure, AWS) and full-stack development (Python, C#, C++, Java, React). I'm particularly enthusiastic about Gen AI applications and their potential to solve real-world problems, having worked on projects combining AI with education and accessibility.
 Beyond my professional work, I actively participate in hackathons that challenge me to apply my entrepreneurial mindset—rapidly prototyping solutions to real-world problems under tight constraints and collaborating with diverse teams to deliver working products in accelerated timeframes.

Experience

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

Google

Software Engineer III (Machine Learning)

Jul 2025Present · 11 mos · Hyderabad, Telangana, India · Hybrid

  • Building GenAI Agents at AI Garage team.

Amazon

Software Development Engineer 2

Feb 2024Jul 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

  • Currently at Amazon's Alexa organization, I'm working on initiatives to enable LLM-powered Alexa as a global agent across different partner devices. I've built cloud and native solutions that handle millions of daily interactions across TVs, speakers, and wearables. The endpoints of our app include industry partners like Samsung, LG, Philips, Bose, Sonos etc. I have contributed to Fire TV operating system development for global manufacturers like TCL, Xiaomi, and Panasonic, implementing model-specific features that improved customer satisfaction.
Cloud SolutionsNative SolutionsLLMAlexaDistributed Systems

Microsoft

2 roles

Software Engineer at MCT, CELA

Jan 2023Feb 2024 · 1 yr 1 mo · On-site

  • Developed and implemented solutions: Developed key features such as the admin notification center, AI-powered chatbot, and video resume functionality, enhancing diagnosability and improving the user experience.
  • Playing a vital role in optimizing performance, conducting load testing, and implementing offline functionality, ensuring cost efficiency, scalability, and accessibility for users in emerging markets.
RAG-based LLMFAISS vector DBDynamic vector database updatesAutomated cleanupArtificial IntelligenceMachine Learning

Software Engineer at CHIE, Azure

Aug 2021Dec 2022 · 1 yr 4 mos · On-site

  • Developed high-performance data pipeline service on Azure for live ingestion, parsing, storage, and analysis of test-results data from Azure Datacentre lab machines.
  • Improved data management efficiency, reduced data exchange rate by over 90%, and accelerated analysis turnaround time through advanced visualization and web portal enhancements.
  • Implemented real-time notification system using Azure logic apps, enabling faster decision-making, improved traceability, and streamlined action plans.
Data Pipeline ServiceAzureReal-time Notification SystemPerformance OptimizationCloud SolutionsData Management

Udaan.com

Product Engineering Intern

Jan 2021Jul 2021 · 6 mos

  • Implemented access management and hierarchical RBAC, along with advanced rule-based filtering on Rest APIs, ensuring secure and controlled visibility of highly-sensitive data on Udaan's business portal.
  • Developed a generic action-dashboard and notification framework with appropriate access management rules, reducing turn-around-time for operations by one-third and enhancing operational efficiency.
  • Created an end-to-end self-sufficient Access Management console for the operations team, enabling seamless user access management, editing, and revoking, streamlining the access management process and saving time.
  • Developed an org settings console, allowing configurability of different organizations and providing a generic interface for services like pricing and product to add their configurations, enhancing flexibility and scalability. Additionally, made feature additions to enhance productivity, user-experience, and increase adoption of the tech console, improving overall team efficiency and user satisfaction.
Access ManagementRBACRest APIsNotification FrameworkSoftware Development

Goldman sachs

Summer Analyst in Technology Division (Automation COE)

May 2020Jun 2020 · 1 mo

  • Developed an automation tool that eliminated manual work in comparing and validating trade documents between the firm and their counterparties. This streamlined the document verification process, reduced errors, and improved efficiency.
  • Implemented a generic parsing framework and automated validation algorithms, enabling accurate data extraction from trade documents and ensuring consistent and accurate verification with counterparties. This improved accuracy, reduced discrepancies, and enhanced compliance.
Automation ToolDocument VerificationData ExtractionAutomation

Campus haat

Full Stack Developer

May 2019Jul 2019 · 2 mos · IIT Kanpur

  • Developed APIs for Profile as well as Admin Dashboard.
  • Developed a complete Delivery System right from the “visibility” of a product to a
  • user to completing the order including scheduling the pathway (both cost and time
  • effective), assigning the rangers and estimating delivery cost and time.
  • Worked on Payments and Advertisement.
  • Integrated the above APIs to their applications.
API DevelopmentDelivery SystemPayments IntegrationFull-Stack Development

Involve - empowering students

Android Developer Intern

Feb 2019Apr 2019 · 2 mos · IIT Madras, Chennai, TN

  • Developed an Android Application from Scratch
  • Integrated their pre-existing APIs into the app.
  • Was responsible for the complete functioning (UI & backend)
Android DevelopmentAPI IntegrationUI DevelopmentMobile Development

Education

VIT_Vellore Institute of Technology

Bachelor of Technology - BTech — Computer Science

Jan 2017Jan 2021

Carmel Convent School - India

Jan 2004Jan 2017

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