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║  AYUSHMAN@INFOSAGE05  ~  AI/ML Engineer  ~  IIT Kharagpur          ║
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║  $ whoami                                                                ║
║  > B.Tech. (Hons.) Mfg. Science + M.Tech. Industrial Engg. & Management  ║
║  > Micro Spl. AI & Applications · CGPA 8.41 · IIT Kharagpur              ║
║  > Building GenAI systems, multi-agent swarms, and competitive ML.       ║
║  > Active contributor to vLLM, Unsloth, and the LLM serving ecosystem.   ║
╚══════════════════════════════════════════════════════════════════════════╝

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🖥️ ~$ status

$ neofetch --info ayushman
OS          : IIT Kharagpur · Dual Degree (Mfg. Science) · Micro Spl. AI & Applications
Kernel      : AI/ML Engineering, GenAI, Multi-Agent Systems
Uptime      : 2023 – Present
Shell       : Python · C/C++ · TypeScript · SQL
WM          : PyTorch · LangGraph · FastAPI · Docker
Resolution  : 8.41 CGPA · Competitive ML · OSS Contributor
Location    : Kharagpur, India
Theme       : Dark-terminal-green

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📂 ~$ ls -la repos

These are the strongest original projects I’ve shipped. Click a repo to see the source.

#	Repo	Language	What it does
1	qwen-swarm	Python	RepoPilot — zero-copy multi-agent software engineering system. SGLang RadixAttention cut latency by 3,500ms and hit 83.3% cache hit rate. tree-sitter + NetworkX repo intelligence, Docker sandbox validation, Modal GPU inference. Built for Qwen Cloud Global AI Hackathon.
2	sherlock-candidate-engine	Python	Real-time candidate identification & authenticity engine using 22 weak signals fused through a Bayesian belief tracker.
3	spark-fleet-revenue-engine	Python	Autonomous revenue engine: OCR + LLM sponsor extraction, Apollo enrichment, Zoho CRM sync, WhatsApp/email outreach.
4	cognitive-traffic-orchestrator	TypeScript / Python	7-agent AI orchestration for 8,000+ traffic incidents across 22 Bengaluru corridors. LightGBM + RAG, 11 FastAPI endpoints, 1ms brief latency, React/Vite dashboard. Flipkart Gridlock Hackathon 2.0.
5	Terra-Pulse	HTML/JS	Frontend environmental dashboard / data project.
6	gmail-browser-agent	Python	Browser-automation agent for Gmail workflows.
7	azure-multimodal-ingest-engine	Python	Multimodal ingestion pipeline on Azure.
8	LLM-Facet-Evaluator	Python	Faceted evaluation framework for LLM outputs.
9	amex-profitability-ranking-	Python	Kaggle-style credit-card profitability ranking solution.
10	Flipkart-Grid-Traffic-Demand-Forecasting	Python	Demand forecasting for traffic logistics — Flipkart Grid.
11	NVIDIA-Nemotron-Model-Reasoning-Challenge-Solution-Kaggle	Jupyter	Kaggle solution for the NVIDIA Nemotron model reasoning challenge.
12	Blog_Agent	Python	Agentic blog research & writing pipeline.
13	PPT-Generator-AI-Agent-using-Gemini	Jupyter	Gemini-powered agent that generates presentation decks.
14	Vision_Transformer_from_scratch	Jupyter	Minimal ViT implementation from scratch for learning.

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🌐 ~$ ls -la open-source

Active forks & contributions to the LLM / inference ecosystem. I read source, reproduce issues, and upstream fixes.

Project	Role	Focus
vllm-project/vllm	Contributor	Diagnosed FP8 MLA KV-cache miscalculation; fixed scheduler KV-cache leak under pipeline parallelism; validated with 7 unit tests.
unslothai/unsloth	Contributor	Optimized Triton kernels, fixed LoRA broadcasting bug, patched dynamic sequence padding for multi-GPU, benchmarked 2× fine-tuning speedups.
sgl-project/sglang	Contributor	High-performance serving framework with RadixAttention
flashinfer-ai/flashinfer	Contributor	Kernel library for LLM serving
huggingface/transformers	Contributor	Model-definition framework
ggml-org/llama.cpp	Contributor	Efficient LLM inference in C/C++
openvinotoolkit/openvino	GSoC proposal / study	AI PC inference optimization, NPU/GPU/CPU runtime
Lightning-AI/pytorch-lightning	Contributor	Scalable PyTorch training
ruxailab/sentiment-analysis-api	Contributor	Audio/video sentiment analysis Flask API

Recent contribution areas

$ git log --oneline --author=InfoSage05 --since="2026-04-01"
[unsloth]  optimize Triton kernels to reduce peak VRAM during grad accumulation
[unsloth]  fix LoRA weight initialization broadcasting bug
[unsloth]  patch dynamic sequence padding for multi-GPU tensor shape mismatches
[vllm]     diagnose FP8 MLA KV-cache miscalculation causing memory overestimation
[vllm]     fix scheduler bug leaking KV-cache blocks under pipeline parallelism
[vllm]     replace unsafe dict lookup with guarded cleanup + 7 unit tests

These are the areas I have been actively contributing to, as detailed in my résumé.

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💼 ~$ cat experience.md

Foreign Training Program · University College Dublin (UCD), Ireland

Research Intern · Prof. Deepu John · Jun 2026 – Present

• Architected a 5-layer agentic pipeline combining PostGIS, LLMs, and LightGBM to predict housing prices across 15,000+ properties.
• Built a Python ETL pipeline with PPR and OpenStreetMap connectors plus automated handling of rejected records.
• Engineered an OpenRouter LLM agent layer with exponential backoff and JSON-mode parsing, achieving 90% accuracy.
• Containerized the full stack (Postgres, Redis, FastAPI, React) via Docker Compose for sub-second map visualizations.

Open Source Contributor · vLLM

Apr 2026 – Present

• Diagnosed FP8 MLA KV-cache miscalculation causing memory overestimation during long-context inference.
• Fixed root cause across two attention spec classes and resolved a related OOM via lazy workspace memory allocation.
• Fixed a scheduler bug where orphaned requests under pipeline parallelism leaked KV-cache blocks and crashed the engine.
• Replaced unsafe dict lookup with guarded cleanup, validating correctness via 7 targeted unit tests.

Open Source Contributor · Unsloth AI

May 2026 – Present

• Optimized custom Triton kernels to eliminate redundant tensor allocations, reducing peak VRAM during gradient accumulation.
• Fixed a critical broadcasting bug in LoRA weight initializations across variable scaling architectures.
• Formulated an active patch for dynamic sequence padding, resolving tensor shape mismatches during multi-GPU training.
• Benchmarked throughput across quantization configs, verifying 2× faster fine-tuning speeds via integration tests.

AI/ML Intern · Nirveon X

Feb 2025 – Jun 2025

• Built RAG pipelines for a GenAI mental-health assistant using HyDE, GRAG, and LCM+RAG techniques.

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🏆 ~$ cat achievements.log

[2026] Team Vice-Captain — General Championship Data Analytics 2026 (IIT KGP)
       Frammer AI · 4th place among 18 teams · Agentic AI analytics with 105+ KPIs
[2026] Qwen Cloud Global AI Hackathon — QwenSwarm RepoPilot
       SGLang RadixAttention · 3,500ms latency reduction · 83.3% cache hit rate
[2026] Flipkart Gridlock Hackathon 2.0 — Cognitive Traffic Orchestrator
       7-agent system · 8,000+ incidents · 22 Bengaluru corridors · 1ms briefs
[2026] Convolve 4.0 (Pan IIT) — NyayaAI Multi-Agent Legal Assistant
[2025] Winner — General Championship Data Analytics 2025 (IIT KGP)
       Market-Mix Modeling · 1.05M records · 129% ROI · 29% Net Profit
[2025] Gold Medal — Marketing Budget Optimization (GenChamp Technology, IIT KGP)
[2025] Amazon ML Challenge — Multimodal Product Pricing Engine
[2025] Google Cloud Agentic AI Hackathon — Project Kisan
[2025] Kharagpur Data Science Hackathon — Research Paper Evaluation Framework
[ONGOING] CGPA 8.41 / 10 — IIT Kharagpur Dual Degree · Micro Spl. AI & Applications

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🛠️ ~$ cat skills.json

{
  "languages": ["Python", "C/C++", "SQL", "JavaScript", "TypeScript"],
  "ml": ["PyTorch", "TensorFlow", "Keras", "Scikit-learn", "HuggingFace", "LightGBM"],
  "llm_engineering": ["LangChain", "LangGraph", "SGLang", "vLLM", "Unsloth", "OpenVINO"],
  "agents": ["MCP", "CrewAI", "Groq", "Gemini", "OpenRouter"],
  "backend": ["FastAPI", "Django", "Flask", "Pydantic", "React"],
  "infra": ["Docker", "AWS", "GCP", "Azure", "Git/GitHub"],
  "databases": ["PostgreSQL", "Redis", "Qdrant", "ChromaDB", "FAISS"],
  "systems": ["Linux", "WSL", "Bash", "Git"]
}

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📬 ~$ mail -s "Hello" ayushman

• 📧 Email: mr.infosagepoint2020@gmail.com
• 🔗 LinkedIn: in/ayushman-paul-b7796a27b
• 🐦 X: @ayushman_p1001
• 🌐 Portfolio: infosage05.github.io/my-portfolio
• 💻 LeetCode: InfoSage05

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$ echo "Thanks for stopping by."
> Thanks for stopping by.
$ exit