Nimesh Sinha

Director of Engineering

Bengaluru, Karnataka, India14 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Architected scalable GenAI platforms for enterprise clients.
Led cross-functional teams to enhance engineering culture.
Drove cloud modernization for high-volume deployments.

Stackforce AI infers this person is a Fintech architect specializing in scalable AI-driven solutions.

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Skills

Core Skills

Conversational AiSystem Architecture

Other Skills

TelephonyDirector levelEngineering ManagementSession Initiation Protocol (SIP)Cloud InfrastructureLarge Language Models (LLM)C++JavaSQLC#HTMLPerlPowerPointMicrosoft WordCSS

About

Engineering leader with 14+ years of experience architecting and scaling large distributed systems, high-availability backend platforms, and enterprise automation solutions. I’ve led cross-functional engineering teams in designing scalable microservices, event-driven architectures, real-time processing pipelines, and secure cloud-native platforms across BFSI, insurance, healthcare, Banking, new age Internet Companies and telecom. My focus includes building production-grade GenAI capabilities: LLM-powered voice automation, real-time STT → LLM → TTS pipelines, multi-LLM orchestration, and guard-railed intelligence layers integrated into enterprise workflows. I combine deep architectural thinking with practical engineering execution to ensure systems that are resilient, observable, compliant, and cost-optimised. I’ve overseen platforms handling 200M+ monthly interactions with strict SLAs, sub-second latency, and enterprise-grade reliability. Strong technical foundation in Java ecosystems, distributed systems design, telephony infrastructure, AWS/Azure cloud, API lifecycle management, data pipelines, and GPU-accelerated inference. As a Director-level leader, I define engineering strategy, drive architecture governance, build high-performance teams, and align technology with business outcomes. Known for elevating engineering culture, improving delivery velocity, and scaling platforms and people as organisations grow.

Experience

Ubona technologies

4 roles

Director of Engineering

Promoted

Feb 2024 – Present · 2 yrs 2 mos

Led the end-to-end architecture of Ubona’s enterprise GenAI Voice Automation Platform, powering millions of monthly conversations across multiple banking, Government and insurance clients.
Engineered a sub-800ms real-time conversational stack combining VAD, streaming ASR, multi-LLM reasoning layers, policy & compliance frameworks, and neural TTS—delivering highly natural, production-grade voice automation at scale.
Built a multi-model orchestration layer integrating GPT-4o, GPT-4o-mini, LLaMA, and custom in-house LLMs with dynamic routing, persona conditioning, token-budget optimization, and automated fallback intelligence for high containment.
Designed a comprehensive BFSI-grade guardrail and safety framework, including intent-verification, toxic content prevention, hallucination suppression, fraud checks, on-call safety policies, and strict domain-rule enforcement.
Architected omnichannel GenAI journeys across Voice, WhatsApp, Web-IVR, and SMS with shared context, cross-channel memory, retry logic, and session stitching for seamless customer experience.
Drove cloud and infrastructure modernisation using AWS (EKS, RDS, ALB, Lambda, S3), Azure OpenAI, GPU inference clusters (A100/H100/G5), autoscaling, and cost-optimized compute models for high-volume deployments.
Established strong engineering governance, including architecture standards, sprint discipline, RCAs, SIT/UAT frameworks, production rollout playbooks, logging/observability best practices, and zero-downtime releases.

TelephonyDirector levelEngineering ManagementSession Initiation Protocol (SIP)Conversational AISystem Architecture+2

Product Lead

Promoted

Nov 2015 – Jan 2024 · 8 yrs 2 mos

Designed and delivered production-grade GenAI voicebots across home loans, health insurance, motor claims, policy renewals, collections, onboarding, and producer/agent support : driving measurable improvements in containment, NPS, and operational throughput.
Built an advanced LLM-driven dialog management layer with multi-turn reasoning, contextual memory, behavioral grounding, dynamic tool calling, and strict policy-rule conditioning for high-accuracy, regulation-safe automation.
Developed highly specialized BFSI/insurance AI models for numeric reasoning, premium/benefit explanation, eligibility checks, KYC logic, appointment scheduling, and claim-intent classification, optimizing accuracy in real customer conversations.
Implemented ASR quality enhancers including custom Hindi + vernacular normalizers, numeric canonicalization, phonetic mapping, confidence-based fallback logic, and domain-trained correction rules to boost speech recognition reliability.
Modernized backend architecture by migrating legacy Oracle workflows to NoSQL, introducing event-driven microservices, and optimizing concurrency, throughput, and latency for high-volume voice workloads.
Partnered closely with enterprise stakeholders to translate complex business processes into AI-powered journeys : aligning product, engineering, compliance, and business teams to deliver scalable enterprise deployments.

TelephonyConversational AISystem ArchitectureCloud InfrastructureLarge Language Models (LLM)

Senior Software Engineer

Promoted

Oct 2014 – Nov 2015 · 1 yr 1 mo

Engineered backend microservices, IVR logic engines, and real-time call-flow orchestration modules, enabling high-throughput conversational automation across voice, WhatsApp, and web channels.
Redesigned large-scale data models and led Oracle → NoSQL migration, improving performance, concurrency, and scalability for mission-critical voice systems.
Implemented reliability and observability layers, including structured logging, distributed tracing, autoscaling, SLA-driven workflows, active monitoring, and automated recovery for production-grade AI services.

TelephonySystem Architecture

Software Engineer

Nov 2011 – Oct 2014 · 2 yrs 11 mos

KEY RESPONSIBILITIES:
Software Skill set: Core Java, JSP, DROOLS, Scripting, SQL, ORACLE, Web Services, SOA ,Hadoop
Ability to work in a dynamic and technically challenging environment
Strong analytical problem solving skills in the operations field
Worked on all phases of SDLC
Managing the flow and categories of highly dynamic Airtel HT services on different multi model numbers
Strong Communication and Customer interface skills
Work in an agile development environment with the team on a daily basis to scope, develop, and deliver software solutions to support business requirements
Participate in development activities including design, development, and unit testing of production software.
Plan and estimate work effort and help to continuously improve the agile development process

Telephony

Cisco systems

Software Development Intern

Jan 2011 – May 2011 · 4 mos · Bangalore

Developing an efficient logging framework for the TAC Teams in Cisco.
Participate in development activities including design, development, and unit testing of production software.
Plan and estimate work effort and help to continuously improve the agile development process
Deliver best quality products and features in shortest period of time
Project:
Today WAAS deployments are in the order of thousands and there are equal number of
customers using the Wide Area Application Engines(WAEs) and WExp on a 24/7 basis. One of the key
differentiators often helping the TAC and Esc teams are logs at customer deployments. These logs are very
critical files maintained by WAEs which forms the basis for trouble shooting and problem resolution. As such
there is always a challenge to Bus to provide the most optimal logging mechanism with minimal disruption to

Itc limited

Software Development Intern

Jul 2010 – Aug 2010 · 1 mo

SharePoint Services
Microsoft SharePoint, also known as Microsoft SharePoint Products and Technologies or simply SharePoint, is a software platform developed by Microsoft for collaboration and web publishing combined under a single server. These capabilities include developing web sites, portals, intranets, content management systems, search engines, wikis, blogs, and other tools for business intelligence.