Open Source and Consistency Milestone
GitHub / npm / PyPI / LeetCode
Published 8+ packages across npm and PyPI and maintained a 365-day LeetCode consistency streak with 20 badges visible on profile.
Software Engineer | AI, Cloud, Agents & Automation, LLMOps, Quant Finance & Full-Stack Products
I design and ship Full Stack platforms, AI, Cloud Architectures, Scalable Business, Agentic AI and Automation Solutions, LLMOps, Quant Finance, and Data-Intensive Systems for companies, founders, and fast-moving teams that need measurable outcomes, not just prototypes.

Trusted By & Built With












About
His work combines full-stack engineering, cloud architecture, AI-driven automation, data systems, and financial engineering depth.
I care about systems that can survive production constraints, not just look convincing in a demo.
Performance, cost, observability, and throughput matter as much as feature delivery once systems get real traffic.
The work spans full-stack engineering, AI workflows, cloud delivery, data systems, and finance-aware product thinking.
I stay open to professors, labs, graduate pathways, and technical collaborations that benefit from both implementation depth and curiosity.
Strong collaboration matters whether the context is hiring, mentorship, technical advisory, or a startup shaping its next technical bet.
Open source, writing, certifications, and public technical profiles help make the work easier to evaluate before the first conversation.
Milestones
From quantum computing scholarships to contest placements, open-source output, and long-term consistency in problem solving and technical learning.
Career Journey
A timeline spanning web engineering, cloud delivery, platform modernization, mentorship, hackathons, and academically aligned technical growth.
-
Structured study in financial modeling, econometrics, and AI-driven decision systems as part of a stronger move into fintech and graduate-oriented work.
- Present
Leading platform modernization, AI-enabled delivery, and architecture improvements across frontend, backend, cloud workflows, and internal developer systems.
Services
From high-performance platforms to agentic AI, cloud modernization, fintech systems, data engineering, Web3, and technical leadership support.
Service
Research Collaboration
1-6 weeks depending on artifact depth and collaboration model
Service
Platform Modernization
2-6 weeks for focused modernization and workflow uplift
Swipe service lanes
01—09Case studies drawn from production systems
Across npm, PyPI, GitHub, and technical writing, I publish reusable building blocks for developers and teams working on modern web, AI, and product systems.
A compact view of the signals that support the work: Credly-backed credentials, structured courses, competitive results, and scholarship-backed technical learning.
SYS_VAL_LOG
Hackathon project shipped
Deriv AI Talent Sprint
Hackathon / challenge submission
AI Agent innovation sprint
22nd / 538 nationally
CALICO Fall '25
Foundations of Financial Engineering
Set Up a Google Cloud Network Skill Badge
Optimize Costs for Google Kubernetes Engine Skill Badge
Implement Load Balancing on Compute Engine Skill Badge
I write about scalable systems, React and Next.js performance, AI delivery patterns, cloud trade-offs, financial engineering, and research-minded product thinking.
Technical Depth
Production-first capability across TypeScript, React, Next.js, Python, AWS, data tooling, AI frameworks, and the architectural judgment needed to combine them well.
Active hub
5 selected capabilities
Trust Signals
For full-time hiring, consulting, and research opportunities, I prefer honest due diligence: work samples, public artifacts, and references shared in-context.
“Working with Farasat during the AI Talent Sprint was remarkable. He approaches ambiguous research problems with the rigor of a seasoned engineer and the creativity of a founder.”
“We brought Farasat in to consult on our high-throughput data processing pipeline. Not only did he resolve our scaling bottlenecks, but he also left us with a masterclass in modern deployment patterns.”
“Farasat possesses an incredibly rare blend of deep technical systems knowledge and sharp product intuition. His work on our generative AI architecture directly accelerated our go-to-market by months.”
Whether you're scaling an enterprise, deep in academic research, or founding the next outlier — I map the fastest vector to impact.
Scale with AI-native architecture and production-ready agentic workflows.
Modernize legacy stacks and establish senior-level delivery standards.
Bridge the gap between theoretical research and executable software systems.
Protocol: Direct_Mail_Transmission_v4.2