Karrman Bhatia — Software Engineer

🚀 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘁𝘂𝗿𝗻𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗶𝗻𝘁𝗼 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I build high-performance backend systems using 𝗖++, 𝗣𝘆𝘁𝗵𝗼𝗻, and strong 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 foundations. My work spans cross-platform engineering, automation, AI-driven tools and large-scale debugging across enterprise codebases. 📌 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗖𝗿𝗼𝘀𝘀-𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴Migrated 50,000+ lines of 𝗖++/𝗖𝗟𝗜 𝗰𝗼𝗱𝗲 𝘁𝗼 𝗻𝗮𝘁𝗶𝘃𝗲 𝗖++, enabling geometry workflows on Windows and Linux and modernizing core components. • 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Built a 𝗵𝗲𝗮𝗱𝗹𝗲𝘀𝘀 𝗴𝗲𝗼𝗺𝗲𝘁𝗿𝘆 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗔𝗣𝗜 that reduced memory usage by 30%, powering automated geometry processing pipelines. • 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 Created a regression analysis tool with Flask + Azure DevOps that saved 15+ hours/week and cut average debug time from 5 days to 1 day. • 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Built an AI documentation chatbot using Rasa with 85% intent accuracy, reducing dev search time by 92% inside Visual Studio. • 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 Designed 100+ C++ tests, optimized build pipelines by 20%, and delivered consistent performance improvements across systems. 💡 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 Software Developer | C++ | Python | Data Structures | Algorithms | REST APIs | System Design | Docker | Debugging | Rasa NLU 🏆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • Be Courageous Award at Ansys • Agility Certificate for delivering fixes 2x faster • Top 10 among 200+ in Siemens Hackathon • Published 10+ technical articles on engineering topics ✨ 𝗪𝗵𝗮𝘁 𝗗𝗿𝗶𝘃𝗲𝘀 𝗠𝗲 I love building reliable, scalable systems and solving deep engineering problems using C++, Python, and solid data structures thinking. My goal is to create software that is fast, stable and easy to maintain.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS development.

Location: Noida, Uttar Pradesh, India

Experience: 3 yrs 8 mos

Skills

C++
Software Development
Cross-platform Engineering
Api Development
Automation
Debugging
Natural Language Processing
Ai Development

Career Highlights

Migrated 50,000+ lines of code to native C++.
Developed an AI chatbot reducing search time by 92%.
Created a regression tool saving 15+ hours weekly.

Work Experience

Adobe

Member of Technical Staff-2 (3 mos)

Ansys

Software Development Engineer 1 (2 yrs 6 mos)

Siemens

Software Developer Intern (11 mos)

Education

Master of Technology - MTech at Thapar Institute of Engineering & Technology

Bachelor of Technology - BTech at MIT ADT University

Class 12th at DAV PUBLIC SCHOOL, FARIDABAD

Class 10th at DAV Public School , Sector 49, Faridabad

Karrman Bhatia

Software Engineer

Noida, Uttar Pradesh, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Migrated 50,000+ lines of code to native C++.
Developed an AI chatbot reducing search time by 92%.
Created a regression tool saving 15+ hours weekly.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS development.

Contact

Skills

Core Skills

C++Software DevelopmentCross-platform EngineeringApi DevelopmentAutomationDebuggingNatural Language ProcessingAi Development

Other Skills

Object-Oriented Programming (OOP)Software Development Life Cycle (SDLC)Memory OptimizationFlaskAzure DevOpsDockerRasaTest AutomationAgile Project ManagementLeadership DevelopmentAccountabilityPersonal DevelopmentC#Computer-Aided Design (CAD)Algorithms

About

Experience

3 yrs 8 mos

Total Experience

1 yr 8 mos

Average Tenure

3 mos

Current Experience

Adobe

Member of Technical Staff-2

Feb 2026 – Present · 3 mos · Noida · On-site

Object-Oriented Programming (OOP)Software Development Life Cycle (SDLC)C++Software Development

Ansys

Software Development Engineer 1

Jul 2023 – Jan 2026 · 2 yrs 6 mos · Pune · On-site

Delivered cross-platform geometry support by migrating 50,000+ lines of C++/CLI geometry code to native C++, allowing SpaceClaim workflows to operate on both Windows and Linux and broadening the product’s market reach.
Designed and deployed headless geometry service API used by PyGeometry and other applications, eliminating UI dependencies and reducing memory footprint by 30%, enabling automated geometry
processing at scale.
Developed robust P/Invoke marshalling layer for managed-native interoperability, handling complex non-blittable structures and ensuring zero memory leaks in production environments.
Led debugging efforts for critical regression failures, systematically tracing through geometry stack to resolve topology inconsistencies,
reducing bug resolution time from 5 days to 1 day average.
Built intelligent regression analysis tool using Flask REST APIs and Azure DevOps integration, automating failure pattern detection and
bug correlation, saving 15+ engineering hours per week.
Developed an interactive debugging dashboard featuring real-time error visualization, integrated commit history tracking, and automated
bug deduplication, increasing team productivity by 25%.

DockerSoftware DevelopmentC++

Siemens

Software Developer Intern

Jul 2022 – Jun 2023 · 11 mos · Pune, Maharashtra, India · On-site

Designed and deployed an AI-powered documentation chatbot integrated into Visual Studio, reducing documentation search time by
92% (from 2 hours to 10 minutes), significantly improving developer velocity.
Implemented conversational AI system using Rasa framework with custom NLU pipeline, achieving 85% intent recognition accuracy across 50+ documentation queries, storing conversation history and context awareness.
Developed a comprehensive C++ test automation suite comprising more than 100 unit tests and static code analyzers to ensure code quality and critical bugs before production deployment.
Optimized build pipeline for NX codebase, implementing smart merge conflict resolution reducing build times by 20% and eliminating 40%
of merge-related failures.