Roshan Rawat

AI Researcher

Greater Delhi, India1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proven track record in building scalable AI solutions.
Expertise in API integrations with high reliability.
Strong foundation in distributed systems engineering.

Stackforce AI infers this person is a SaaS-focused AI Engineer with strong capabilities in distributed systems and API integrations.

Contact

Skills

Core Skills

EngineeringDistributed Systems3rd Party IntegrationsArtificial Intelligence (ai)

Other Skills

Prompt EngineeringAgentsError HandlingLarge Language Models (LLM)REST APIsOptimizing PerformanceDatabasesScalabilityGo (Programming Language)Microsoft AzureSQLObject-Oriented Programming (OOP)Database Management System (DBMS)DebuggingC (Programming Language)

About

Just your typical vibe coder trying to explore this corporate world 🫡

Experience

1 mo

Total Experience

1 mo

Average Tenure

1 mo

Current Experience

Bitscale

AI Engineer

May 2026 – Present · 1 mo · Gurugram, Haryana, India · On-site

Prompt EngineeringAgents3rd Party IntegrationsError HandlingLarge Language Models (LLM)REST APIs+24

Emergent

Engineering Intern

Oct 2025 – Mar 2026 · 5 mos · Bengaluru, Karnataka, India · On-site

Built fault-tolerant, idempotent API integrations (Google Services, 3rd party applications) achieving 99%+ request success rate via retries, timeouts, and graceful degradation.
Designed modular OAuth-based integrations (Google APIs), enabling secure, scalable agent workflows across external services.
Improved AI agent reliability by 2–3× by enabling autonomous API interactions, reducing dependence on static LLM knowledge and enabling real-world task execution.

3rd Party IntegrationsError HandlingLarge Language Models (LLM)REST APIsOptimizing PerformanceDatabases+3

Google

Software Engineering Intern

Jun 2025 – Sep 2025 · 3 mos · Bengaluru, Karnataka, India · On-site

Built a Go-based configuration diffing system for AlloyDB/VMs, enabling reliable change tracking across update workflows.
Designed a stack-based deep diff algorithm for nested Protobuf configs, detecting fine-grained field-level changes.
Reduced MTTR from 5 min → 30 sec by integrating diff insights into logging and dashboards for faster debugging.

Distributed SystemsScalabilityGo (Programming Language)Debugging