Vilas profile photo 1 on Tal

Vilas

Senior Software Engineer | AI & Product Thinking | FinTech | SaaS | Building Scalable Systems

Bengaluru

7+ years of work experience

twid
Jun 20241 yr 11 mosPresent

Bengaluru, Karnataka, India

Kaleyra
May 20231 yr 1 moMay 2024

Bengaluru, Karnataka, India

Delivered 8+ SMS, Voice, MMS, and WhatsApp integrations across CRM, Marketing Automation, E-commerce, Workflow Automation, and Helpdesk platforms, collectively handling 70M+ monthly API requests. Conducted market and technical feasibility analysis for regional integration demands, influencing roadmap prioritization and ensuring alignment with platform capabilities. Enhanced delivery velocity by 15% through structured sprint planning, backlog prioritization, and user story refinement, improving predictability and engineering execution efficiency. Collaborated cross-functionally with Design, Engineering, Legal, Infosec, Business Intelligence, and Operations teams to ensure secure, compliant, and high-performance product releases across global deployments.
Kaleyra
Apr 20212 yrs 2 mosMay 2023

Bangalore Urban, Karnataka, India

Developed Bulk Number Management APIs using a multi-stage queue architecture with primary, retry, and dead-letter queues, enabling asynchronous batch processing with automated retries and manual recovery handling Led the development of an AI-powered microservice from scratch, integrating Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities using AWS and GCP services, processing 4B+ audio requests annually. Developed intelligent text chunking and caching strategy for TTS, reducing speech synthesis costs by up to 45% through audio segment reuse at scale. Implemented a cross-region cascading load balancer with failover and intelligent regional traffic routing by reusing existing AWS accounts, improving availability to 99.99%, reducing latency by 25%, and lowering infrastructure costs by 20%. Led platform modernization initiatives, migrating 2 microservices from PHP to Golang and REST to gRPC, achieving ~3x faster responses and improved concurrency handling. Integrated Redis Lua scripting into Kaleyra Routes microservice to accelerate call-routing lookups, improving routing latency by 30% and maintaining consistent performance under high concurrent load. Facilitated migration of audio retrieval traffic from the legacy sound service to the new Golang-based “Sound Downloader” microservice, enabling 40% faster IVR prompt access and reliable audio reuse while ensuring zero downtime during transition of 8.1B + annual call traffic. Developed NoSQL-based logging and reporting systems using MongoDB and AWS S3, powering analytics and compliance reporting for 8.1B+ annual call records and enabling secure, on-demand access via signed URLs. Owned and served as SPOC for four high-scale production microservices, providing architectural guidance, performance tuning, and operational support while mentoring seven junior engineers to elevate code quality, system design thinking, and overall delivery efficiency.
Kaleyra
Jul 20191 yr 9 mosMar 2021

Bangalore Urban, Karnataka, India

Implemented feature flag framework for the Kaleyra Cloud platform, enabling controlled rollouts and instant rollbacks, which reduced deployment-related downtime by ~30% and improved release confidence. Engineered distributed cache invalidation logic using a lazy-loading strategy, improving cache hit ratio by 35%, reducing unnecessary refreshes, and enhancing data consistency across 5 microservices. Built the Kaleyra Virtual Numbers platform supporting 190+ countries and provisioning millions of virtual numbers, enabling enterprises to establish localized communication presence globally. Integrated SonarQube into 5 microservices, creating automated code-quality gates that  raised code-coverage metrics by 25% across the Voice platform.
ISRO - Indian Space Research Organisation
Jan 20194 mosApr 2019

Bengaluru, Karnataka, India

Built a satellite sensor failure detection model using a combination of artificial neural networks (ANN) and LSTM based Recurrent Neural Networks (RNN). Achieved a failure prediction accuracy of up to 94%. Presented the work in the National Conference on Industrial and Information Technologies (NCIIT), India, 2019.
Konigtronics (OPC) Private Lmtd.
Jun 20172 mosJul 2017

Bengaluru, Karnataka, India

Vilas’s AI Stack

cursor
cursor
github copilot
github copilot
langchain
langchain
openai
openai

Education

Dayananda Sagar College of Engineering, BANGALORE

Bachelor of Engineering, Computer Science

Dayananda Sagar College of Engineering, BANGALORE

20154 yrs2019
JAIN College

Pre University College, PCME

JAIN College

20132 yrs2015

Join Vilas and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Vilas on Tal

Headline

Senior Software Engineer | AI & Product Thinking | FinTech | SaaS | Building Scalable Systems

Location

Bengaluru

AI stack

cursor

github copilot

langchain

openai

Work experience

Senior Software Development Engineer at twid, Jun 2024 - Present · 1 yr 11 mos, Bengaluru, Karnataka, India

Assistant Manager (Product) at Kaleyra, May 2023 - May 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India, Delivered 8+ SMS, Voice, MMS, and WhatsApp integrations across CRM, Marketing Automation, E-commerce, Workflow Automation, and Helpdesk platforms, collectively handling 70M+ monthly API requests. Conducted market and technical feasibility analysis for regional integration demands, influencing roadmap prioritization and ensuring alignment with platform capabilities. Enhanced delivery velocity by 15% through structured sprint planning, backlog prioritization, and user story refinement, improving predictability and engineering execution efficiency. Collaborated cross-functionally with Design, Engineering, Legal, Infosec, Business Intelligence, and Operations teams to ensure secure, compliant, and high-performance product releases across global deployments.

Software Engineer Specialist at Kaleyra, Apr 2021 - May 2023 · 2 yrs 2 mos, Bangalore Urban, Karnataka, India, Developed Bulk Number Management APIs using a multi-stage queue architecture with primary, retry, and dead-letter queues, enabling asynchronous batch processing with automated retries and manual recovery handling Led the development of an AI-powered microservice from scratch, integrating Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities using AWS and GCP services, processing 4B+ audio requests annually. Developed intelligent text chunking and caching strategy for TTS, reducing speech synthesis costs by up to 45% through audio segment reuse at scale. Implemented a cross-region cascading load balancer with failover and intelligent regional traffic routing by reusing existing AWS accounts, improving availability to 99.99%, reducing latency by 25%, and lowering infrastructure costs by 20%. Led platform modernization initiatives, migrating 2 microservices from PHP to Golang and REST to gRPC, achieving ~3x faster responses and improved concurrency handling. Integrated Redis Lua scripting into Kaleyra Routes microservice to accelerate call-routing lookups, improving routing latency by 30% and maintaining consistent performance under high concurrent load. Facilitated migration of audio retrieval traffic from the legacy sound service to the new Golang-based “Sound Downloader” microservice, enabling 40% faster IVR prompt access and reliable audio reuse while ensuring zero downtime during transition of 8.1B + annual call traffic. Developed NoSQL-based logging and reporting systems using MongoDB and AWS S3, powering analytics and compliance reporting for 8.1B+ annual call records and enabling secure, on-demand access via signed URLs. Owned and served as SPOC for four high-scale production microservices, providing architectural guidance, performance tuning, and operational support while mentoring seven junior engineers to elevate code quality, system design thinking, and overall delivery efficiency.

Software Engineer Professional at Kaleyra, Jul 2019 - Mar 2021 · 1 yr 9 mos, Bangalore Urban, Karnataka, India, Implemented feature flag framework for the Kaleyra Cloud platform, enabling controlled rollouts and instant rollbacks, which reduced deployment-related downtime by ~30% and improved release confidence. Engineered distributed cache invalidation logic using a lazy-loading strategy, improving cache hit ratio by 35%, reducing unnecessary refreshes, and enhancing data consistency across 5 microservices. Built the Kaleyra Virtual Numbers platform supporting 190+ countries and provisioning millions of virtual numbers, enabling enterprises to establish localized communication presence globally. Integrated SonarQube into 5 microservices, creating automated code-quality gates that raised code-coverage metrics by 25% across the Voice platform.

Project Trainee at ISRO - Indian Space Research Organisation, Jan 2019 - Apr 2019 · 4 mos, Bengaluru, Karnataka, India, Built a satellite sensor failure detection model using a combination of artificial neural networks (ANN) and LSTM based Recurrent Neural Networks (RNN). Achieved a failure prediction accuracy of up to 94%. Presented the work in the National Conference on Industrial and Information Technologies (NCIIT), India, 2019.

Application Development Intern at Konigtronics (OPC) Private Lmtd., Jun 2017 - Jul 2017 · 2 mos, Bengaluru, Karnataka, India

Education

Bachelor of Engineering, Computer Science, Dayananda Sagar College of Engineering, BANGALORE

Pre University College, PCME, JAIN College