Shad M Khan — Software Engineer
I’m a Lead Software Engineer (LMTS) at Salesforce with 14+ years of experience building scalable, high-performance systems across cloud and on-prem environments. Lately, I’ve been exploring Generative AI and MCP tools—integrating platforms like Cursor and models such as Claude, GPT, and Gemini into development workflows to improve system design, speed up iteration cycles, and bring more intelligence into the engineering process. Earlier in my career at Amazon and Fidelity, I led platform transformations focused on performance, reliability, and scale—building low-latency, distributed systems that continue to support business-critical workloads. My core strengths include distributed systems, real-time application design, microservices architecture, and cloud-native systems. I work mainly with Java, but also bring experience in C#, Python, and JavaScript. I care about clean, modular code and systems that evolve well over time. At Salesforce, I lead engineering efforts around scalability and reliability, mentor engineers, and help drive technical alignment across teams—all with a long-term, product-focused mindset.
Stackforce AI infers this person is a SaaS expert with a focus on distributed systems and real-time application design.
Experience: 12 yrs 8 mos
Skills
- Distributed Systems
- Cloud-native Systems
- Microservices Architecture
- Real-time Application Design
Career Highlights
- 14+ years of experience in software engineering.
- Expert in building scalable, high-performance systems.
- Strong leadership in cross-functional team environments.
Work Experience
Salesforce
Lead Member of Technical Staff (1 yr 3 mos)
Fidelity Investments
Principal Software Engineer (4 yrs 7 mos)
Amazon
Software Development Engineer II (1 yr 3 mos)
Zycus
Tech Lead (1 yr 9 mos)
Polaris Consulting & Services Ltd
Software Consultant (2 yrs 10 mos)
Collabera
Senior Software Engineer (11 mos)
Education
Bachelor's degree at Madurai Kamaraj University
Technical Diploma at University of Mumbai