Vishal Pokharel

I am currently focused on building seoaiagent. Instead of just guessing what to build, we're actually running SEO for local businesses ourselves. Every time we find a task that works, we automate it. We’re essentially building the tool in real-time based on what we're doing by hand.

Goal: My goal is to develop AI agents that eventually outperform human-led SEO. I believe we can build agents that are genuinely smarter and more intelligent than a person when it comes to deciding the best possible action for a business's organic growth.

Future plans: We are working toward a system where multiple agents handle competitor analysis, keyword research, content creation, and real-time optimization around the clock. We're starting with local services and will eventually expand to local e-commerce.

Email: vishalpokharel[at]seoaiagent[dot]ai  /  Github /  Linkedin

Publications

It introduces an efficient pipeline for 3D documentation(Gaussian splats) of a cultural heritage site from videos.

Projects

Developed a mobile application enabling users to virtually try on shoes...

Built a functional prototype utilizing SceneSplat that allows users to query Gaussian Splatting scenes via natural language. The agent can reason about spatial layout and navigate to specific areas based on user intent.

Developed a prototype that reconfigures 3D mesh environments based on natural language instructions. The system can move objects and suggest optimal placement for new furniture.

• [2024] LLM Scene Synthesis: Preprocessed 3D-FRONT & 3D-FUTURE datasets into room-specific text descriptions and bounding box dynamics. Fine-tuned a Llama model on 6k custom samples to predict furniture arrangements and suggest new items based on current room state.
• [2025] LLM Tokenizer: Implemented a Byte-Pair Encoding (BPE) tokenization system inspired by GPT-2 architecture, including custom training, encoding, and decoding processes.
• [2023/24] Liart.io: Developed and launched a multiplayer game, reaching 1,000+ players in the first week. Implemented iterative improvements based on user behavior analytics.
• [2023] Fashion AI Chatbots: Developed AI-driven customer service prototypes for fashion brands like Brocade, focusing on personalized interaction and brand-specific knowledge.
• [2022] NFT Marketplace: Built a decentralized marketplace prototype featuring community governance and automated reward mechanisms.

Awards and Honors

• Recipient of Mahatma Gandhi Scholarship, 2018-19: Awarded by the Embassy of India for exceptional SEE performance, recognizing academic excellence and financial need.
• Fatima Fellowship, 2024: Selected as a fellow in fellowship program, recognizing potential for advanced research in computer science/machine learning
• Best Software Project, LOCUS 2024: Presented at LOCUS in a competitive showcase, Nepal’s largest tech event organized by students