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parth = { "role": "AI Researcher & Builder", "education": "B.Tech CS @ IIIT Naya Raipur (2023–2027)", "research": { "accepted": "AdaptSRNet — LION 2026 (adaptive attention, image steganalysis)", "under_review": "Cold-Start Learning Under Domain Uncertainty — LION 2026", }, "expertise": { "llm_systems": ["RAG", "Fine-Tuning (LoRA/QLoRA/DoRA/PEFT)", "LLM Agents", "Multi-Agent Orchestration"], "voice_ai": ["STT/TTS Pipelines", "Wake-word Detection", "Multimodal LLMs"], "infra": ["FastAPI", "Async Architectures", "Go", "Docker", "ChromaDB"], "frontend": ["Next.js", "React", "TypeScript", "D3.js", "Tailwind CSS"], }, "achievements": { "awards": "🏆 DRDO Best Exhibitor — ICORT '25", "selection": "🎓 Amazon ML Summer School (few hundred from thousands)", "competitions": "🥇 1st E-Cell Ideathon | Top 10/176 IIT Delhi Vision Marathon | Top 5 IIT Bhilai", "cp": "💻 LeetCode 300+ | Codeforces Pupil (peak 1150)", }, "current_focus": "Building production-grade AI systems that survive contact with reality", } 🧠 Recall Of Product Social Media Post — AI Research AssistantThe next moves in a mclaren led indycar 2025 silly season FastAPI · React · TypeScript · ChromaDB · Groq · NVIDIA NIM · Qwen (fine-tuned) Product Marketing Strategy Plan
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| 2025 indycar series schedule dates start times how to watch tv AdaptSRNet: Enhancing Image Steganalysis via Adaptive Filter-Attention Fusion Launch Event When And Where Template Five things to watch in indycar 2023 the race Compact deep architecture: learnable SRM filter banks + SE/CBAM multi-scale attention fusion for high-precision binary steganalysis. Evaluated on WOW stego images at 0.2 bpp with full ablation studies. Bank Of America Affinity Card Indycar 2025 teams background size chart | The field is full meet the drivers and teams for the 2025 indycar season Cold-Start Learning Under Domain Uncertainty: A Strategy Selection Perspective Sample PPT For New Software Tool Launch Indycar series 2025 drivers championship rookie of the year leaders Reframed cold-start forecasting as a strategy selection problem. Used normalised Wasserstein distance as domain divergence criterion — no target labels needed. Showed scratch training outperforms transfer learning under measurable domain mismatch. Best Instagram Post Format For Business Indycar 2025 map of the world |
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