Tuhin Sharma
VERIFIED TECHNICAL DOSSIERSources checked

Tuhin Sharma

Co-Founder & AI Architect

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Tuhin Sharma. Every entry undergoes editorial source verification.

#1
RESEARCH Checked Sep 22, 2026

Small Language Model (SLM) Fine-Tuning and Inference Optimization

Engineered domain-specific distillation pipelines compressing 70B parameter models into 3B-7B parameter edge models for on-premise enterprise deployment with zero data leakage.

Model & Execution Context:Phi-3, LLaMA-3-8B, LoRA / QLoRA, vLLM, TensorRT-LLM.
Scope & Limitations

SLMs have lower zero-shot generalization on tasks outside the fine-tuning training distribution.

#2
IMPLEMENTATION Checked Sep 22, 2026

Enterprise Agent Routing with Model Cascades and Latency Guardrails

Architected semantic routing proxies that direct routine classification to cheap SLMs while escalating complex reasoning tasks to frontier LLMs, slashing cloud compute costs by 65%.

Model & Execution Context:Semantic router, embedding cosine similarity, GPT-4o, LLaMA-3-8B-Instruct.
Scope & Limitations

Threshold calibration requires ongoing monitoring to prevent misrouting edge-case queries to smaller models.