491–500 of 585 posts
Résumé/CV: https://linkedin.com/in/iawais
Github: https://github.com/a2awais/Threat-Hunting
Email: awaiz.pk@gmail.com
Project: https://threatnexus.online
I have diverse experience of 10+ years in the below areas of Cybersecurity.
- SOC / DFIR - Threat Hunting - Cyber Intelligence - Detection Engineering - Malware Research and Analysis - Cloud Security
I am extremely analytical and logical, but also very creative, socially outgoing, and comfortable operating across a very wide range of disciplines. (For example, although I am a strong coder, I also have excellent oral and written communication.) Because I think in terms that are concrete but conceptual, I excel both in technical and non-technical environments, and beyond software development, I've also been involved in workflow automation, technical communication, and QA. I'm a very fast learner and I'm always willing to explore new technologies/better ways of doing things.
Location: NYC
Remote: Happy to do either remote or hybrid
Willing to relocate: No
Technologies: Java Spring Boot, TypeScript, Angular, SQL, MongoDB, Python
Resumé/CV: https://tinyurl.com/brookeresume
Email: brookedschwartz@gmail.com
Location: Orlando, Florida, United States
Remote: Yes (Flexible)
Willing to relocate: Yes
Technologies: C#, TypeScript, React, Python, Go, Dart, AWS, GCM, Docker, PostgreSQL, gRPC, MQTT
Résumé/CV: https://tylerd.dev
GitHub: https://github.com/NotTsunami
LinkedIn: https://www.linkedin.com/in/tylerdunncs/
Email: contact@tylerd.dev
Remote: Yes / Onsite: Yes
Willing to relocate: Yes
Technologies: SQL, Python, Excel (VLOOKUP, PivotTables, financial modeling), Power BI, Bloomberg
Résumé/Portfolio: https://www.linkedin.com/in/nikles-gaal-306576189
Email: nikgaal14@gmail.com
Finance professional with 3+ years of experience in account reconciliation, variance analysis, and financial reporting at a global financial institution (BNY Mellon). Currently pursuing an MS in Analytics & Information Management to deepen my data and automation skills. Comfortable picking up new tools fast — taught myself SQL, Python, and Power BI to modernize manual reporting processes in my current role. Looking for Financial Analyst, FP&A, or financial reporting roles where hands-on reconciliation experience and a growing technical toolkit can add value from day one.
Remote: Yes
Willing to relocate: Yes
Technologies: Frontend (React, JavaScript/TypeScript, TanStack Form, TanStack Router, TanStack Query, TailwindCSS, Zustand, ShadCN, Orval), Backend and DB (Python, FastAPI, PostgreSQL, MongoDB, n8n), Docker, Git, Github
Résumé/CV: https://samir-gbian.vercel.app/resume.pdf Email: samirgbian AT outlook DOT com
Engineered React UI dashboards and secure FastAPI backend services and automated end-to-end type safety between the frontend and backend for a fintech startup and used strict CI/CD to ensure type safety across the team. Also built automated RAG pipelines for a legal chatbot. I am a curious developer open to new projects.
SEEKING CONSULTING / CONTRACT WORK — also open to the right full-time role
Lawyer-technologist designing and building agentic AI systems for legal and other high-stakes work. I focus on the difficult distance between a promising demo and a deployment-ready workflow: selecting the right work, mapping privilege, data, and authority boundaries, designing evals and human-decision gates, and creating tool-agnostic operating architectures that can survive legal and security review. Current obsession: chaining authority- and scope-bounded agents into high-assurance workflows that can run autonomously for six-plus hours, show their receipts, and stop at explicit human (sometimes licensed professional) gates between stages—then produce genuinely valuable, substantial, compliant, and defensible deliverables.
A useful first engagement is a bounded two-week sprint: rank workflows by value, readiness, and fit; sketch an initial target operating architecture; and produce a prioritized 90-day pilot plan plus one implementation-ready pilot brief.
Recent work: AISPA system-prompt assurance paper: https://arxiv.org/abs/2607.28617 Authority Boundaries for AI: https://www.dazzagreenwood.com/p/authority-boundaries-for-ai Interlateral Agents: https://github.com/dazzaji/interlateral_agents (I have a private repo version with professional authorization or approval/adoption gates and control kernel verifiable logging)
Earlier work includes founding law.MIT.edu, testifying before Congress on electronic-transactions law, and leading Consumer Reports’ Data Rights Protocol. I am currently a Stanford CodeX affiliate.
Available now for one bounded sprint and booking one or two larger engagements beginning in September. Best fit: in-house legal teams, legal-tech companies, and AI companies building high-stakes professional workflows. Contract through https://www.civics.com.
Most recently, I have been the technical lead and one of the earliest engineers at Siift, where I built and now own much of the core platform behind a production AI product. I designed the persistent runtime coordinating 50+ specialized agents, typed tools, approval gates, scheduled actions, retries, recovery, and mutations against live product state. I also built the real-time SSE infrastructure and the multi-tenant data architecture behind conversations, research, sources, project state, generated assets, memory, and long-running workflows.
My ownership at Siift extends across the full product: backend services, agent architecture, frontend systems, authentication, teams and sharing, connectors, search, analytics, data modelling, caching, observability, deployment, AWS infrastructure, production debugging, and technical direction. I work directly with the founder on product and architecture decisions, then carry those decisions through implementation and production.
Before Siift, I worked directly with the CTO at GenRAIT to take a genomic data platform from requirements to production. I built resumable Go ingestion pipelines, integrity validation, retries, reconciliation, persisted job state, biological data models, metadata and expression-level search, and distributed-storage integrations.
At RentAHuman, I worked alongside the founder and Stripe’s integration team to build the initial payments infrastructure for a live marketplace with roughly 600,000 users. I owned authorization, manual capture, platform fees, payouts, refunds, disputes, warranty holds, webhook-driven state transitions, idempotency, reconciliation, messaging, and customer-support workflows.
I also lead the ongoing modernization of a live manufacturing ERP covering inventory, production, costing, quotations, logistics, invoicing, and exports. That work involves reverse-engineering legacy C#, VB.NET, MSSQL, and ASP.NET systems and replacing them incrementally with modular .NET and FastAPI services, PostgreSQL, Redis, Docker, and React without disrupting active business operations.
Outside of work, I am building NullDown, a persistent document, application, and memory substrate where humans and AI agents can operate against the same structured state. It supports snapshot-based persistence, structured mutations, indexed retrieval, conflict-safe co-authoring, embedded data, and projection into interactive interfaces.
I am looking for founding engineer, technical lead, full-stack, backend, and platform engineering roles. I am equally open to a strong full-stack engineering role where I can take substantial ownership and grow into or directly carry technical leadership. Across my recent work, I have already owned architecture, implementation, infrastructure, deployment, production operations, and technical product decisions across AI systems, payments, data platforms, and enterprise software.
Resume: https://drive.google.com/file/d/16mo1rLGjOMgCOYLcK8sTH5K5xm8... Email: rsrishitsingh@gmail.com GitHub: https://github.com/rishit-singh Website: https://coderi.sh LinkedIn: https://linkedin.com/in/rishit-singh
Senior backend and platform engineer with 15+ years of experience building and operating distributed production systems. My recent work has focused on scaling high-throughput platforms, improving database and application performance, building observability and reliability practices, and removing infrastructure bottlenecks.
Looking for Staff or Principal IC roles with meaningful hands-on ownership. I work best with small, experienced teams that value autonomy, clear responsibility, and measurable engineering outcomes.
Remote: Yes - remote only
Willing to relocate: No
Technologies: TypeScript, React, Next.js, Node.js, Fastify, Python, Rust, PostgreSQL, MongoDB, Redis, Docker. Agent work: Claude Code, Cursor, MCP, Anthropic + OpenAI APIs, agent orchestration, evaluation harnesses. Also Shopify (Python connectors, inventory and placement CRUD), Solidity/Solana.
Resume: https://www.ayushbaluni.in GitHub: https://github.com/aayushbaluni LinkedIn: https://linkedin.com/in/ayush-baluni Email: abaluni6@gmail.com
I build AI agents that ship real code, and I own the review of everything they produce.
The evidence: I wrote an agent that finds actionable issues in open-source repos, writes the patch, and opens the PR. 17 of those are merged into third-party projects - langflow, dify, Grafana, Flowise, twenty, agno, Directus, pnpm, Medusa, Haystack, windmill, Effect, logto, reth, supabase-js, graph-node and Temporal's TypeScript SDK. Around 726,000 stars combined, all merged between March and July 2026.
Getting a patch past a maintainer who has no reason to be generous to you is the hard part, and it is the part I would point at. The agent does not fail at writing code - it fails at judgment: which issue is actually fixable, when a green test suite is lying, when a one-line fix is really an API change.
Also built Agent Vault, a runtime safety layer for AI agents (Rust, gRPC, NATS) with SHA-256 state verification and a four-tier escalation policy. Day job is product engineering; 15+ freelance projects delivered end to end; CodeChef global rank #22.
Looking for part-time contract work - roughly 15-20 hrs/week, IST with several hours of European or US-East overlap. Most interested in agent infrastructure, evals and developer tooling, but good full-stack product work is welcome too.
I'm a full-stack engineer with 3+ years shipping production systems, currently leading engineering for a dealership SaaS platform, and previously CTO (contract) at a healthcare startup where I owned architecture end-to-end.
Some things I've built and shipped:
Led a 6-engineer team delivering 20+ production modules (CRM, inventory, billing, search) for a dealership platform , cut API latency 40%, shipped 50+ releases As CTO, architected an NLP-based resume parsing system that cut manual data entry by 70%, plus real-time infra (Node.js/Socket.io) for a healthcare platform Trained and deployed a computer vision model to production processing 40,000+ images/day at 99%+ accuracy, fully replacing manual review Built billing infra (Stripe), OpenSearch-based indexing, and third-party data enrichment pipelines (KBB, Black Book) from scratch
Tech stack: Node.js, Express, TypeScript, Golang, React, Next.js, MongoDB, SQL, Python, PyTorch, Docker
I like moving fast, owning things end-to-end, and working with small teams where I can have real product impact, which is why I'm especially interested in Founding Engineer roles, but also open to strong Backend/Full Stack positions.
Portfolio: https://www.nkm.co.in LinkedIn: https://linkedin.com/in/nithin070 GitHub: https://github.com/Nithin0000007