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
Build ambitious products with research-grade thinking and production-grade execution.
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.
300M+Events Optimized
12xCost Reduction
8+Published Packages
20+Technical Articles
Trusted By & Built With
Built for startups, engineering teams, research circles, and global collaborators
About
An engineer positioned at the intersection of technologies
His work combines full-stack engineering, cloud architecture, AI-driven automation, data systems, and financial engineering depth. I enjoy solving hard product problems for startups and companies, while staying open to research collaboration, mentorship, hackathons, conferences, and academic opportunities.
Full-stack deliveryAI-native systemsResearch-minded collaboration
Real-world execution
I care about systems that can survive production constraints, not just look convincing in a demo.
Scale and optimization
Performance, cost, observability, and throughput matter as much as feature delivery once systems get real traffic.
Cross-domain architecture
The work spans full-stack engineering, AI workflows, cloud delivery, data systems, and finance-aware product thinking.
Research alignment
I stay open to professors, labs, graduate pathways, and technical collaborations that benefit from both implementation depth and curiosity.
Team and founder leverage
Strong collaboration matters whether the context is hiring, mentorship, technical advisory, or a startup shaping its next technical bet.
Public technical credibility
Open source, writing, certifications, and public technical profiles help make the work easier to evaluate before the first conversation.
Milestones
Scholarships, rankings, and signals of disciplined growth
From quantum computing scholarships to contest placements, open-source output, and long-term consistency in problem solving and technical learning.
Career Journey
From frontend foundations to AI-enabled platform engineering
A timeline spanning web engineering, cloud delivery, platform modernization, mentorship, hackathons, and academically aligned technical growth.
Education
Sep 2025 - Mar 2026
Foundations of Financial Engineering Certificate
WorldQuant University·Online
Structured study in financial modeling, econometrics, and AI-driven decision systems as part of a stronger move into fintech and graduate-oriented work.
Professional
Jan 2025 - Present
Software Engineer Level II
Digital Dividend Global·Karachi, Pakistan
Leading platform modernization, AI-enabled delivery, and architecture improvements across frontend, backend, cloud workflows, and internal developer systems.
Services
Service lines for product, AI, cloud & research
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
Service
Research Collaboration and Technical Writing
Technical writing, research collaboration, whitepaper support, and publication-ready engineering thinking for professors, labs, founders, and ambitious teams.
1-6 weeks depending on artifact depth and collaboration model4 deliverables
Service
Platform Modernization and Developer Experience
Monorepo modernization, CI/CD cleanup, tooling upgrades, and workflow design that make complex engineering systems easier to ship inside.
2-6 weeks for focused modernization and workflow uplift4 deliverables
Advisory
Technical Leadership and Engineering Advisory
Technical advisory, mentorship, architecture reviews, roadmap shaping, and engineering standards support for founders and teams that need senior-level leverage.
Advisory sprints from 1-4 weeks4 deliverables
Data
Data Engineering and Observability
Data pipelines, ETL flows, event-streaming architecture, observability systems, and reporting foundations for teams operating at meaningful scale.
2-6 weeks for focused optimization and architecture work4 deliverables
Web3
Blockchain and Web3 Product Engineering
Practical Web3 work across smart contracts, token-driven product concepts, decentralized app integration, and blockchain-backed prototypes.
2-6 weeks for scoped prototypes and integrations4 deliverables
FinTech
FinTech Systems and Quant-Aware Product Work
Software delivery for finance-oriented products where data quality, throughput, modeling awareness, and risk-sensitive thinking matter.
2-8 weeks depending on product and data complexity4 deliverables
Cloud
Cloud Architecture and Optimization
AWS-first cloud delivery for serverless systems, microservice cleanup, observability, throughput improvements, and cost-aware infrastructure decisions.
2-6 weeks for audit and high-impact implementation4 deliverables
AI / ML
AI and Agentic Systems
Custom AI assistants, agent workflows, RAG-enabled features, and production-ready integrations that connect models to real business logic.
2-8 weeks for pilot to production path4 deliverables
Web
Full-Stack Web Engineering
Performance-focused product engineering for modern web platforms using Next.js, React, Node.js, TypeScript, and scalable backend patterns.
2-10 weeks depending on scope4 deliverables
ENGINEERING EXCELLENCE SCALE PERFORMANCE ENGINEERING EXCELLENCE
Service lane
Research Collaboration and Technical Writing
Service lane
Platform Modernization and Developer Experience
Service lane
Technical Leadership and Engineering Advisory
Service lane
Data Engineering and Observability
Service lane
Blockchain and Web3 Product Engineering
Service lane
FinTech Systems and Quant-Aware Product Work
Service lane
Cloud Architecture and Optimization
Service lane
AI and Agentic Systems
Service lane
Full-Stack Web Engineering
Service lane
Research Collaboration and Technical Writing
Service lane
Platform Modernization and Developer Experience
Service lane
Technical Leadership and Engineering Advisory
Case studies drawn from production systems
Execution backed by outcomes
Packages, tools, and experiments shared publicly
Across npm, PyPI, GitHub, and technical writing, I publish reusable building blocks for developers and teams working on modern web, AI, and product systems.
SYNC_STATE: VERIFIED
Courses, certifications, hackathons, and proving-ground signals
A compact view of the signals that support the work: Credly-backed credentials, structured courses, competitive results, and scholarship-backed technical learning.
Valid Courses
1Valid Courses
Certifications
4Certifications
Tracked Solves
500+Tracked Solves
Competitive Proof
SYS_VAL_LOG
HeimdallAI
2026-01-15T00:00:00.000ZHackathon project shipped
Deriv AI Talent Sprint
Hermes Nexus Enhanced Product Vision
2025-11-01T00:00:00.000ZHackathon / challenge submission
AI Agent innovation sprint
CALICO Fall '25
2025-10-01T00:00:00.000Z22nd / 538 nationally
CALICO Fall '25
Registry Issuance
Foundations of Financial Engineering
WorldQuant University2026
Set Up a Google Cloud Network Skill Badge
Google Cloud2025
Optimize Costs for Google Kubernetes Engine Skill Badge
Google Cloud2025
Implement Load Balancing on Compute Engine Skill Badge
Google Cloud2025
Writing
Original articles on this site, plus public writing on Medium
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
A stack built for shipping, scaling, and adapting
Production-first capability across TypeScript, React, Next.js, Python, AWS, data tooling, AI frameworks, and the architectural judgment needed to combine them well.
Trust Signals
References, recommendations, and proof of serious collaboration
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.”
Dr. K. ChenAI Research Director
“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.”
Sarah JenkinsLead Architect, FinTech Solutions
“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.”
Alex V.VP of Engineering, Stealth Startup
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Initiate Breakthrough.
Whether you're scaling an enterprise, deep in academic research, or founding the next outlier — I map the fastest vector to impact.
Latency: 24ms
Uptime: 99.98%
Status: Ready_For_Input
UPLINK_STABLE
High-Growth Startups
Scale with AI-native architecture and production-ready agentic workflows.
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Engineering Leaders
Modernize legacy stacks and establish senior-level delivery standards.
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Research & Academia
Bridge the gap between theoretical research and executable software systems.
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Secure Global Hub
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