Tanmay Verma@tanssc1158279
1
Events attended
1
Submissions made
India
1 year of experience
About me
Hi, I'm Tanmay Verma, a second-year B.Tech Computer Science (Core) student at SRM University, Haryana, with a passion for building intelligent software that solves real-world problems. I enjoy developing full-stack web applications while continuously expanding my knowledge in AI, Python, and data science. My current focus is deepening my expertise in Python, AI engineering, and prompt engineering, with the long-term goal of becoming an AI Architect. I'm a curious, creative, and fast learner who enjoys exploring new technologies, participating in challenging projects, and turning ideas into practical applications. I believe the best way to learn is by building, and I'm always looking for opportunities to create impactful AI-driven solutions and collaborate with other developers.
🤝 Top Collaborators
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🤓 Latest Submissions
Hybrid Token-Efficient Router
The Hybrid Token-Efficient Routing Agent is an AI system that intelligently routes user prompts to the most cost-effective Fireworks AI model capable of answering accurately. Unlike naive single-model approaches, our system analyzes each prompt's task type and complexity to select the optimal model, reducing token consumption by up to 60%. Our multi-stage pipeline classifies prompts into 8 categories (factual knowledge, math reasoning, sentiment analysis, summarization, NER, code debugging, logical reasoning, and code generation), estimates complexity, and routes to the cheapest sufficient model. The system prioritizes Gemma models for bonus points, with automatic fallback to MiniMax M3 ($0.3/M input tokens) or Kimi K2.7 Code for code-focused tasks. The result: 74% accuracy on practice tasks using only ~3,500 tokens for 8 tasks—significantly less than using a single large model. The system includes prompt optimization to remove filler words, reducing input tokens by 15-20%.
13 Jul 2026
