Gunjan Sharma — CEO
I’m an Engineering Manager with experience across D. E. Shaw, Microsoft, DTDL and Morgan Stanley, leading high-impact engineering teams across distributed systems, large-scale backend platforms, workflow engines, and LLM-integrated applications. I combine technical depth, architectural thinking, and structured people leadership to deliver complex programs predictably—even in ambiguous product landscapes or fragile legacy environments. Core Strengths • Systems & Architecture — designing scalable multi-service flows, resilient pipelines, automated recovery paths, and high-volume data processing architectures. • Applied AI / LLM integration — • architected LLM-assisted transcript processing, • designed circuit-breaker–based model fallback (GPT → Claude), • built LLM summarization / matching pipelines, • and ensured reliable orchestration between deterministic logic and model-driven components. • Technical leadership — driving designs, reviews, performance tuning, debugging, and developer growth. • People management — building strong ICs, delegating intelligently, resolving conflicts, and developing engineering talent. • Operational excellence — leading RCAs, improving system reliability, tuning infra usage, and establishing long-term guardrails. • Cross-functional influence — aligning PMs, QA/QTE, infra, and leadership around clear scope, risks, and decisions. How I Work I lead with clarity, strong engineering judgment, and calm execution. I stay hands-on when the system or project requires deep debugging, architectural clarity, or performance improvements — and step back strategically to grow engineers into independent owners. I emphasize correct-by-design engineering, predictable delivery, transparent communication, and building redundancy in teams so nothing depends on a single individual. What Excites Me • AI-native product development • LLM + deterministic system design • Distributed workflows at meaningful scale • Improving engineering culture through structure and clarity • Coaching engineers into confident, high-ownership leaders What I’m Looking For Engineering leadership roles where I can own: • multi-team technical programs, • architecture-heavy initiatives, • AI-enabled platforms, • or high-scale distributed systems. If your team values strong technical leadership, architectural thinking, and the ability to drive both people and systems forward — let’s connect.
Stackforce AI infers this person is a SaaS and AI-focused engineering leader with expertise in cloud-native architecture.
Location: Delhi, India
Experience: 10 yrs 1 mo
Skills
- Cloud-native Architecture
- Technical Leadership
Career Highlights
- Led high-impact engineering teams across multiple companies.
- Architected LLM-assisted applications for scalable processing.
- Improved system reliability and performance across platforms.
Work Experience
The D. E. Shaw Group
Project Lead (3 yrs 2 mos)
Microsoft
Software Development Engineer 2 (2 yrs 5 mos)
Deutsche Telekom
Software Developer (2 yrs 1 mo)
Morgan Stanley
Associate Software Developer (1 yr 3 mos)
Technology Analyst (6 mos)
FundooMania
Co-Founder (1 yr 4 mos)
Publicis Sapient
Associate Developer (8 mos)
Technology Trainee (2 mos)
Education
Master of Technology - MTech at IIIT Delhi
Bachelor of Technology - BTech at Indira Gandhi Delhi Technical University
12th at Delhi public school, Dwarka