Sourav Mansingh

Co-Founder

Bengaluru, Karnataka, India10 yrs 8 mos experience

Highly StableAI ML Practitioner

Key Highlights

Led the development of an enterprise SaaS product in five months.
Expert in building AI-driven solutions for real-time decision-making.
Strong background in distributed systems and microservices architecture.

Stackforce AI infers this person is a Fintech expert with a strong focus on AI and distributed systems.

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Skills

Core Skills

Distributed SystemsAiGoMicroservicesJ2ee Application DevelopmentJava Development

Other Skills

AI-driven GTM Intelligence PlatformKafka-style pipelinesGolangJavasentiment analysisevent-driven architecturesKafkaWebSocketWebrtcgRPCOpenTelemetryPostgreSQLSpring BootRedisAmazon Dynamodb

About

I build software. From a blank repo to something people actually use. 11 years doing this. Go and Python now. Java before that. The work I enjoy most is taking something from nothing — a problem, an idea, a deadline — and shipping something real. At Confluent I did exactly that. Took an enterprise SaaS product from zero to live in five months. Owned every decision along the way — the architecture, the features, the AI layer, the team. Outside of work I keep building. A few things are running live right now if you're curious enough to look. I also write about the problems I run into along the way. 📝 souravsnigdha.medium.com 🔗 github.com/Eomaxl

Experience

10 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Career break

Personal goal pursuit

Jun 2025 – Feb 2026 · 8 mos · Bengaluru, Karnataka, India

Career Break | Building AI-driven GTM Intelligence Platform
Took a planned 8-month break to build a startup focused on improving Sales-Led GTM strategies through AI-driven insights. Designed and developed a prototype platform that applied sentiment analysis on sales signals and external data sources to enable real-time decision-making for revenue teams.
Worked extensively on event-driven architectures using Kafka-style pipelines, scalable backend services (Golang/Java), and data processing systems to handle high-throughput, low-latency workloads. Explored integration of LLMs for contextual summarization and signal extraction.
This phase strengthened my ability to operate at the intersection of distributed systems, data engineering, and applied AI—while also developing strong product intuition and ownership.

AI-driven GTM Intelligence PlatformKafka-style pipelinesGolangJavasentiment analysisevent-driven architectures+2