Mohit Goyal (Harness arc)

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Mohit Goyal (Harness arc)

Mohit Goyal (Harness arc)

@ByteMohit

20 . ML Research Engineer • Dev Ambassador @MiniMax_AI • 14x Hacks won 🏆

🐲/acc Katılım Mart 2020
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Mohit Goyal (Harness arc)
Mohit Goyal (Harness arc)@ByteMohit·
I built an AI that reads your research papers and never lies about what's in them. Meet MemexLLM ↓ • Upload 50+ formats (PDFs, YouTube, audio) • Chat → get cited answers with page numbers • Hybrid search finds ideas, not just keywords • Turns papers into podcasts 🎧 • Auto-generates flashcards & quizzes • 100% open source, self-hostable Built solo in 3 months. 📖 Case study: mohitx.in/projects/memex… ⭐ GitHub: github.com/MohitGoyal09/M… Demo
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Mohit Goyal (Harness arc)
Here is my past 2 weeks tokens usage on Hermes. i have tried various workflows/ special agent profiles to link with kaban board etc etc. Still not using it at full potential but it is fun!!
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Ahmet Erdem
Ahmet Erdem@a_erdem4·
Günün anlam ve önemine uygun bir şekilde bu sene mezun olacak ya da son 3 yıl içinde mezun olup AI üzerine çalışmak isteyen 8 kişiye Slack üzerinden mentörlük yapmayı düşünüyorum. Umarım LLMlere ya da reddite sorular sormaktan daha yararlı olur.
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Mohit Goyal (Harness arc) retweetledi
Shreyas Pandey
Shreyas Pandey@Shreyas_Pandeyy·
Question for builders working around runtime agents, OpenClaw, workflow orchestration, AI infra, and autonomous systems: Which industry is most underserved right now but will heavily need these tools soon? Trying to map where the strongest real-world demand is emerging beyond the hype.
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Mohit Goyal (Harness arc)
One more Rejection . i donot know when i am gonna get good in this game . 😭😭 Rejection Streak : 22x
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Mohit Goyal (Harness arc)
Some Quick Updates on my harness: What i'm building: My own Agentic harness like for example claude code , opencode , pi etc. Why: Best way to learn something is doing it by first principles this what i am doing. IT IS JUST THAT SIMPLE. NO CAP. so, what is done till now and what is left to come . Features shipped ( Till now) : 1. All Primitive tools for an agent including grep , glop , edit file , wrtie file , read , todos , memory , web search , web fetch . 2. Good Interactive TUI. 3. Session & Config Management. What 's left to come : 1. Subagents ( currently in progress) 2. Agent hooks 3. Skill registery 4. Swarm Mode
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Mohit Goyal (Harness arc)@ByteMohit

Here is some updates : Features added : 1.⁠ ⁠Interactive mode 2.⁠ ⁠Configuration system 3.⁠ ⁠Session management 4 . Write File tool 5.⁠ ⁠Edit File Tool What's next : 1.⁠ ⁠More tools including grep , web search etc. 2.⁠ ⁠Subagents functionality

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Jaya Dubey
Jaya Dubey@jaya_6400·
@ByteMohit It's tough to land a good company, and it takes effort. Hope your efforts get paid off 🙌🏻
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Mohit Goyal (Harness arc)
@jaya_6400 efforts are all their . like me building things from scratch to understand better. hardly anybody pushing that hard.
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Jaya Dubey
Jaya Dubey@jaya_6400·
@ByteMohit This is different I saw to post the rejection streak, u can trace back and count your efforts u gave while applying 😅
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Tessa Archer
Tessa Archer@scifi_tessa·
@ByteMohit Soft skills used to mean tolerating meetings. Now it's recognizing when AI is wrong and explaining why to stakeholders. Harder than it sounds.
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Mohit Goyal (Harness arc)
The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones.
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Mohit Goyal (Harness arc)
Here is what i am following for next 6 months to become a GenAI Engineer. Stage 1: Python + Async Architecture FastAPI, asyncio, typing, Pydantic v2, event-driven design, API integration patterns. Stage 2: Multimodal LLM Fundamentals Transformer architecture, SLMs vs LLMs, context window management, vision/audio inputs, token economics. Stage 3: Structured Outputs + Prompt Ops JSON schema enforcement, function calling, prompt versioning, template management, few-shot optimization. Stage 4: Advanced RAG + Knowledge Graphs Hybrid search, graph RAG, semantic reranking, metadata filtering, citation grounding, incremental indexing. Stage 5: Agentic Workflows + Orchestration LangGraph/LlamaIndex, tool use, planning loops, multi-agent collaboration, human-in-the-loop handoffs. Stage 6: Production GenAI Applications Streaming responses, optimistic UI, fallback models, rate limiting, cost-aware routing, session management. Stage 7: Evaluation + Quality Assurance LLM-as-a-judge, automated eval harnesses, regression testing, hallucination metrics, RAGAS/DeepEval. Stage 8: Inference + Infrastructure Optimization vLLM/SGLang, quantization (FP8/INT4), KV caching, speculative decoding, edge deployment, model distillation. Stage 9: MLOps + Observability Distributed tracing, latency monitoring, cost dashboards, drift detection, CI/CD for prompts and models. Stage 10: AI Safety + Compliance Guardrails, prompt injection defense, PII redaction, copyright checks, EU AI Act compliance, content filtering. Stage 11: Open Source + Portfolio Ship multimodal agents publicly, write technical deep dives, record demo videos, contribute to orchestration libs. Stage 12: Apply GenAI Engineer, AI Application Developer, LLM Infrastructure Engineer, Autonomous Systems Engineer roles. Most people stay stuck watching tutorials. Builders get hired. (Bookmark it)
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Julie
Julie@Sankalp1906·
@ByteMohit in ur portfolio resume isnt accessible
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