About Me

Sumit Yadav (Rocker Ritesh)

Email: [email protected] | Mobile: +977-9819856148
Portfolio: sumityadav.com.np | GitHub: github.com/rockerritesh | LinkedIn: linkedin.com/in/rockerritesh

Summary

AI Engineer specializing in natural language processing (NLP) and AI optimization, with 5+ years of experience developing production-grade AI systems. Currently architecting:

• Multi-agent RAG systems with guardrails for secure information retrieval
• Context-aware chatbots with post-conversation analysis capabilities
• LLM evaluation frameworks for accuracy and reliability testing
• MCP Server for easy and fast way to integrate Agents

Proven track record in AI/Machine Learning engineering across many NLP projects including Maithili text classification (low-resources) (0.87 accuracy) and multilingual document analysis systems. Authored 3 peer-reviewed publications and one open review paper on machine learning optimization/security and low-resource language processing.

Core Competencies:

• AI Prompt Design • LLM Fine-tuning • Security Document Analysis
• Technical Documentation • Cross-functional Collaboration • GRC Data Annotation

Education

Pulchowk Engineering College | Kathmandu, Nepal
Bachelor of Computer Engineering

Courses: SDNs, FinTech, Operating Systems, Data Structures, Big Data, Artificial Intelligence, Networking, Databases

Skills Summary

• Languages: Python, C, C++, Bash
• Online Courses: Deep Learning and GAN Specialization, Generative AI LLM, Image Understanding TensorFlow GCP
• Tools/Modules: CI/CD, GIT, Pytorch, LangChain, LlamaIndex, Django, Streamlit, MySQL, GraphQL
• Soft Skills: Leadership, Event Management, Writing, Public Speaking, Time Management
• Hobbies: Walking, Meditation, Deep Think, Meta-Thinking

Experience

AI Engineer (Remote) | Astha.ai, USA

May 2025 - Present

• Zero Trust Agentic System: Working on projects related to RAG, Agent identity and dataflow

AI Engineer (Full-time) | Amnil Technology Pvt. Ltd, Lalitpur

May 2024 - May 2025

• Generative AI and Machine Learning Engineering: Working on projects related to RAG, Agent-based systems, recursive query, Chatbot, SQL Agent, and scheduling optimization. Built systems including Guardrails, LLM evaluation, and Report generation
• LLM hosting, inference optimization, and API integration: Hosted different embedding models and completion models (e.g., LLaMA 3.3 3B model) on server using vLLM inference engine, ensuring efficient performance and easy API integration

Chief Data Officer (Full-time) | Ed-Acadia, Lalitpur

May 2022 - 2023

• AI/ML Projects: Supervised projects and research related to Data Science. Worked on different DocumentsAI systems for low-resource languages

Software Coordinator (Full-time) | PDSC (Plan Design Solve Create), Lalitpur

May 2022 - 2023

• Project Management: Supervised projects and research related to Data Science

GAN Mentor (Part-time) | DeepLearning.AI, Virtual

Aug 2021 - Present

• Course - GAN Specialization: Helping students understand key concepts behind Unsupervised learning (GAN)

AI and Robotics Member (Part-time) | Robotics Association of Nepal, Lalitpur

2021 - Present

• Making Robotics based systems: Conducted research and projects related to Computer Vision based on Raspberry Pi microcontroller

Publications

1. SUPPORT VECTORS ARE A BETTER WAY OF TEXT CLASSIFICATION FOR IMBALANCED DATA - Presented a robust SVC method for text classification (100+ classes) using term-frequency vectorization, achieving superior test data results over neural networks

2. Machine Learning Analysis of Tirhuta Lipi - Achieved 0.97 accuracy in Tirhuta Lipi character recognition using MobileNet embedding and logistic regression, with applications in translation and OCR for low-resource languages

3. Revolutionizing Currency Security: A Yolov8-Based Approach for Automated Detection of Counterfeit Nepali Banknotes - Implemented YOLOv8 to achieve a true positive recall of 0.82 (front face) and 0.9863 (back face) in detecting counterfeit Nepali banknotes, demonstrating significant advancements in counterfeit currency detection

Projects

Vibe-Coder

Made an Agent that will do Streamlit and FastAPI. Tech: Agent, MCP, Claude API keys, Python, Streamlit

Retrieval Augmentation Generation System (RAG) and Intelligent Document Processing (IDP)

Developed a retrieval-augmented reality system for enhanced information access and interaction. Tech: OpenAI, Gemini, Claude API keys, Python

Nepali Chat with Doc

Implemented a chatbot for Nepali language using Devanagari and Preeti fonts. Features include Guardrails system, post-conversation analysis, and agent-based systems like SQL Agent, Excel Agent, and Reflexive Agents. Preeti to Unicode Conversion. Tech: OpenAI, Gemini, Claude API keys

Bachelor's Major Project: Evaluating Auto-Encoder Transformer Language Model for Maithili Text Classification

Established a benchmark in this language. First to create a corpus in Devanagari Maithili language, trained LLM for Maithili, and performed downstream task classification. Tech: LLM, Transformer (BERT), PyTorch, Streamlit & Big Data (April 2024)

IRB (Image Recognition Based) Robotics Arm

Research-oriented, open-source project under UN's SDG3 - Good Health & Well-Being. Tech: Python, Arduino Programming, Arduino Toolkit, TensorFlow (May 2020)

Nepali Language Projects

Developed multiple applications, including a Devanagari letter classifier using VGG16 (accuracy 0.94), a Nepali sentiment analysis model, and a simple OCR for Nepali text. Tech: Keras, Transformer, PyTorch, TF-IDF, NLTK (Past 2 Years)

Unsupervised Model

Explored the behavior of latent spaces using VAE, GAN, C-GAN, AC-GAN, and DC-GAN. Tech: Python, NumPy, TensorFlow (Sep 2021)

NEPSE Simple

Presented Nepal stock market data in a minimal environment constraint. Tech: GitHub Workflow, Automation in Scraping, WebSockets, JavaScript, RSS, XML (Since 2020)

Advanced Document and AI Systems

Designed and implemented a variety of tools, including:

• Chat systems for Nepali and multilingual documents with Preeti-to-Unicode conversion and guardrails for improved user interaction
• AI-powered memo creation and advanced Excel file manipulation tools
• Contract document analysis using recursive and advanced reasoning GPT systems
• Translation systems for Nepali documents using OCR and text conversion
• Chat and interaction systems for image and audio data with TTS and Whisper integration

Verification and Financial Prediction Systems

Developed:

• A face and signature verification app using VGG-based advanced face detection and liveness detection algorithms
• A loan eligibility prediction system utilizing knowledge-based reasoning techniques

Honors and Awards

• Winner of GritFeat AI Hackathon 2023, Locus - Feb 2023 (SWIFT is a wearable device with hardware and AI models that detect falls in elderly people with 0.7986 accuracy, resulting in immediate emergency alerts to contacts)

• First Runner-Up of Dataverse, Locus - Jan 2023, Dataverse Solution (NLP-based problem to classify abstracts)

• Winner of Best AI Project of Deltathon, DELTA 3.0 - Jan 2022, Nepali Harvest (Designed a portal to help farmers by predicting diseases, identifying optimal harvest times, and aiding with crop health assessment)

• Winner of Image Challenge, IT-Meet UP KU - Sep 2022 (Training AI model to classify images of ballot papers)

• Winner of Capture The Flag, LogPoint - Feb 2021 (Task of finding information and exploiting a binary file)

• Runner's Up at DATARUSH by DOCSUMO - Feb 2021 (NLP-based model for classifying abstracts into classes)

Social Experience

Team of NPL Coders | Global

Sep 2023 - Present
Conducted National level Data Science Coding Competition on Kaggle and HackerRank

Joint Secretary at NTBNS Student Clubs, IOE, Pulchowk Campus | Lalitpur, Nepal

Jan 2020 - Present
Conducted technical training & Organized Nepal's largest Saraswati Puja Program

Tutor of Children In Technology - WorldLink | Nepal

Nov 2023
Educated students about risks and safety of the Internet