Rohan Sharma

Software Engineer

Delhi, India4 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected low-latency, scalable AI systems.
Optimized resume parsing from 12s to 3s.
Led a team to streamline CI/CD pipelines.

Stackforce AI infers this person is a SaaS architect specializing in AI-driven solutions and microservices.

Contact

Skills

Core Skills

Ai/mlDistributed SystemsAwsApache KafkaCloud ComputingNlpData StructuresFull-stack DevelopmentNode.jsReact.jsData Structures & Algorithms

Other Skills

VADGo (Programming Language)Large Language Models (LLM)ElasticsearchAmazon Web Services (AWS)Voice ProcessingNatural Language Processing (NLP)AuthorizationObject-Relational Mapping (ORM)Web FrameworkCommunicationTeamworkContinuous Integration and Continuous Delivery (CI/CD)REST APIsMongoDB

About

I specialize in architecting robust, scalable systems that combine low-latency, AI-powered automation with microservices architectures. My expertise spans building end-to-end solutions—from designing Kafka-driven event systems to deploying custom training pipelines that fine-tune AI models for various applications, including intelligent interview platforms and conversational agents. In my projects, I’ve developed an agnostic hub that integrates a central brain agent with dedicated channel-specific agents (covering calls, emails, SMS, and WhatsApp), achieving sub-75ms response times and handling hundreds of concurrent leads. I’ve also optimized processes such as reducing resume parsing times from 12 seconds to 3 seconds and engineered a custom KNN Vector Search engine ingesting 12M+ records at 10K docs per second, all contributing to efficient, data-driven outcomes.

Experience

4 yrs 9 mos

Total Experience

1 yr 5 mos

Average Tenure

3 mos

Current Experience

Nugget

2 roles

SDE-2

Jan 2026 – Present · 3 mos · Gurugram, Haryana, India · On-site

Built and owned the core Voice AI agent platform, designing a distributed, microservices-based architecture with low-latency, end-to-end orchestration for real-time conversations.
Worked deeply on voice processing pipelines, including VAD (Voice Activity Detection), noise cancellation, audio normalization, and turn-boundary detection, to enable reliable real-time interactions.
Architected streaming, low-latency systems to handle live audio ingestion, agent reasoning, and response synthesis within strict latency budgets.
Designed orchestration layers for agent coordination, state management, concurrency, and fault tolerance, ensuring production-grade reliability at scale.
Optimized systems for latency, throughput, and cost, balancing real-time performance with scalability in high-volume environments.
Built and extended AI-powered social customer support and outreach systems, integrating platforms such as Twitter/X, Google My Business, and Meta.
Designed multi-channel ingestion, routing, and response workflows, embedding AI agents for automated replies, triage, and human-in-the-loop escalation.
Worked across real-time and asynchronous pipelines to ensure consistency, observability, and reliability across external integrations.
Promoted to SDE-2 within a year for end-to-end ownership and system-level impact.

AI/MLVADGo (Programming Language)Large Language Models (LLM)Distributed Systems

SDE (Backend + AI Agents)

Apr 2025 – Present · 1 yr · Gurugram, Haryana, India · On-site

Zomato

2 roles

SDE-2

Jan 2026 – Present · 3 mos · Gurugram, Haryana, India · On-site

SDE (Backend + AI Agents)

Apr 2025 – Present · 1 yr · Gurugram, Haryana, India · On-site

Goodspace ai

3 roles

Tech Lead

Promoted

Dec 2024 – Apr 2025 · 4 mos · On-site

● Launched an AI Sales Agent Hub managing 1000+ concurrent calls at <300 ms latency using self-hosted call infrastructure for
both inbound and outbound calls, across WhatsApp, email, SMS, and voice. Achieved a 30% higher lead-conversion by
employing contextual follow-ups, custom retries/fallback strategies, and a custom CRM with push notifications.
● Engineered a Low-Latency, Multilingual AI Interview Platform, completing 25,000+ interviews in 55+ languages with proctoring,
audio/video transcription, and behavioral analysis at <100 ms response times.
● Built a Custom KNN Vector Search Engine with 12M + records ingested at 10k docs/second, achieving sub-100 ms retrieval
through advanced weighting logic for highly relevant recommendations.
● Optimized Resume Parsing with NVIDIA N-series GPUs, reducing parsing time from 12s to ~3s via a custom AI/NLP pipeline,
enabling rapid one-click signups for thousands of job seekers.
● Implemented an Event-Driven Microservice with Kafka for real-time communication channels, webhook ingestion, and scalable
bulk updates—processing 500K+ events/day at <10 ms latency to ensure reliable message delivery across multiple endpoints.
● Maintained 8+ VMs running 15+ Dockerized microservices across AWS & Azure with a unified monitoring system and CI/CD
pipelines, ensuring 99.9% uptime and seamless scaling during traffic surges.
● Led a Team of 6 Engineers to streamline CI/CD pipelines in AWS and Azure, cutting build times from 8 mins to ~1.5 mins and
accelerating production releases significantly.

ElasticsearchAmazon Web Services (AWS)Apache KafkaAWS

SDE - Fullstack

Jun 2024 – Dec 2024 · 6 mos · On-site

Software Development Engineer Intern

Jan 2024 – Jun 2024 · 5 mos · On-site

Full-Stack DevelopmentAuthorizationObject-Relational Mapping (ORM)Web Framework

Sampark softwares pvt ltd.

SDE Intern

May 2023 – Aug 2023 · 3 mos · Gurugram, Haryana, India · On-site

Developing a Sentiment Analysis model for ChatBot development using Natural Language Processing and Node.js with intent and context analysis.
The model is deployed as a REST API for seamless integration.
Also, working on Speech Recognition and Text-to-speech Model using ReactJs.

React.jsContinuous Integration and Continuous Delivery (CI/CD)Natural Language Processing (NLP)Node.jsREST APIsNLP