Frequently Asked Questions

Archit Jain is a full-stack developer and AI automation engineer based in New Delhi, India. He builds production React and Node.js web applications and applied AI/ML tools in Python (TensorFlow, PyTorch, scikit-learn). He is a Founding Engineer at NeuraScribe AI and studied Computer Science (Data Science) at Amity University (B.Tech, 2022–2026).

Archit Jain is a Founding Engineer at NeuraScribe AI (Austin, Texas — remote), the company behind F1jobs.io. He joined in October 2025 as a Full Stack Engineer, building NLP résumé-enhancement pipelines (spaCy, TF-IDF) that save HR teams 15+ hours a week, React, Node.js and MongoDB web applications, and portfolio and GitHub-optimization tools, and became Founding Engineer in September 2026. Before that he interned in applied machine learning at Narrato, in AI solutions development at Protechminds Solutions, and in machine learning at upSkill Campus.

Yes. Archit Jain (B.Tech, class of 2026) is open to full-time software and AI/ML engineering roles, and open to relocation. The fastest way to reach him is email (architjain2501@gmail.com) or LinkedIn (linkedin.com/in/architjain01).

Archit Jain works across the full stack and applied machine learning. On the web he uses React, Node.js, TypeScript, Express, and MongoDB; for AI/ML he uses Python with TensorFlow, PyTorch, scikit-learn, and OpenCV. He also works with Next.js, SQL, and Git-based workflows, and his recent systems work adds Go (a from-scratch Raft key-value store and an LLM gateway) and GPU kernels in Triton.

Archit Jain has built a small LLM inference engine (mini-vLLM, with a paged KV cache and continuous batching), FlashAttention-2 kernels in Triton benchmarked on an NVIDIA T4, AgentTrace (record, replay and diff for LLM agent runs), ModelMux (an LLM gateway with fallback chains, circuit breakers and caching) and hardened MCP servers. Earlier applied-ML work includes an AI outfit recommender (Streamlit + OpenCV with a transparent weighted-scoring engine), an explainable resume-shortlisting tool (TF-IDF and cosine similarity with skill-gap analysis), SmartBlog AI (GPT-4 drafts graded by a from-scratch SEO engine) and SmartBin WBC (an OpenCV/TensorFlow waste classifier driving an Arduino sorter).

His portfolio has twelve case studies. The strongest are RaftKV (a replicated key-value store on a from-scratch Raft in Go, with zero linearizability violations across 1,000 randomized fault schedules), mini-vLLM (a small LLM inference engine with a paged KV cache and continuous batching), FlashAttention-2 kernels in Triton benchmarked on an NVIDIA T4, AgentTrace (record, replay and diff for LLM agent runs) and ModelMux (an LLM gateway with fallback chains and circuit breakers). There is also a live storefront for Alankar Jewellers that prices pieces from the IBJA gold rate, hardened MCP servers, and his earlier AI and full-stack projects. Each is written up as an honest case study with its real scope and trade-offs.

Archit Jain’s degree is a Bachelor of Technology in Computer Science (Data Science) at Amity University, Uttar Pradesh (September 2022 – April 2026).

Yes. Archit Jain placed 1st out of 150 teams at the Cyber Cup 5.0 National Hackathon (2025) and 3rd out of 160 teams at Cyber Cup 4.0 (2024).

Archit Jain is based in New Delhi, India. He currently works remotely for a US-based company and is open to relocation, remote, and hybrid roles.

Email Archit Jain at architjain2501@gmail.com, connect on LinkedIn (linkedin.com/in/architjain01), follow him on X (@That_Archit), browse his code on GitHub (github.com/archit2501), or use the contact page at architjain.me/contact-me. His résumé is downloadable from the site.