Pranjal Pandey - Systems Architect and Engineering Leader

Engineering leader shaping systems and practical AI

Systems Architect · Engineering Leadership · IIT Jodhpur · Ex-Founder

Research-backed thinking grounded in real systems and constraints.

Latest: SOTA : Fair and Efficient Allocation

December 15, 2025 · IIT Jodhpur

All Events →

What I Do

System Architecture

Designing systems that scale with teams, not just traffic

  • Architecture decisions grounded in correctness, complexity, and long-term trade-offs
  • Focus on systems that evolve with business needs
  • Balance theoretical rigor with real-world constraints

Engineering Execution

Turning unclear problem spaces into reliable delivery

  • Reducing tech debt and execution friction in growing codebases
  • Structured approach to complex problem decomposition
  • Mentoring teams on execution discipline

Applied AI (Practical)

AI integrations that solve real problems

  • From PoCs to production-ready systems
  • Focus on reliability and measurable outcomes
  • No hype, no buzzwords—practical implementation

Technical Leadership

Mentoring engineers and early teams

  • Helping founders make better technical decisions early
  • Building engineering culture that values clarity and rigor
  • Advisory and hands-on engagement models

How I Work With Teams

I work with teams building non-trivial systems, focusing on decisions that materially affect architecture, AI reliability, and long-term execution — balancing research rigor with real delivery constraints.

These are current ways I engage with teams today. Most engagements begin through one of two focused review tracks, depending on the team's current risk surface.

Dedicated Architecture Review Track

For teams designing, scaling, or integrating AI into production systems

  • Identify key architectural risks, AI fragility, and execution bottlenecks
  • Align system direction with team capability and realistic constraints
  • Establish decision frameworks that scale beyond the engagement
Learn about the Architecture Review

Focused AI Security Review Track

For teams deploying AI systems that must withstand misuse, failure modes, and regulatory scrutiny

  • Analyze AI threat surfaces, system boundaries, and misuse vectors
  • Identify security, governance, and compliance gaps in AI workflows
  • Provide practical, risk-prioritized mitigation guidance
Learn about the AI Security & Compliance Review

Beyond the Review (When Needed): Step in with short-term, focused support to stabilize systems or take AI from PoC to reliable production — only when clear blockers exist. Exit cleanly, leaving the team with clarity, artifacts, and decision frameworks that continue to work without me.

Selected Work & Engagements

System architecture, product execution, applied AI, and open-source design across founder-led products and client engagements.

Types of Work

  • Founder-led product architecture and execution
  • Open-source framework design under real-world usage constraints
  • End-to-end system design for production platforms
  • Applied AI integrations focused on reliability and measurable outcomes
  • Backend systems, internal tools, and automation pipelines
  • Mobile and web platforms built under real delivery pressure

Representative Engagements

Corpusvision Technologies

Ex-Founder and CTO, leading system architecture and product execution across client platforms

Ordercoro

Designed architecture for hyper-local food delivery platform with mobile apps and backend systems

Scrawler

Open-source framework for structured data extraction with focus on correctness and extensibility

PureSoftware

Enterprise engagements involving internal portals, backend APIs, and production AI integrations

Nextus

System architecture and execution for mobile applications and backend services

Akkado

Cloud infrastructure setup and map-based mobile applications focused on scalability

Whizcrow Technologies

Early technical guide shaping architecture decisions and building product prototypes

TG Connect

Built offline WiFi-based content distribution system deployed on buses

Ernstaa

Technical leader building MVPs and early client-facing products

Trusted by teams at:

Corpusvision · PureSoftware · Whizcrow · Ernstaa · TG Connect · Akkado