Open to opportunities

Mayank Vanik

@mayankvanik

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Results-driven AI/ML Engineer with expertise in scalable solutions.

Zimbabwe

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What I'm looking for

I seek a dynamic role where I can leverage my AI/ML skills to drive innovation and efficiency, preferably in a collaborative environment that values continuous learning and growth.

I am an AI/ML Engineer with over 2.5 years of experience specializing in developing production-ready machine learning systems, intelligent chatbots, and computer vision applications. My work has consistently improved operational efficiency by 60-90% and reduced costs by over $10,000 annually. I have a strong focus on LLM integration, RAG systems, and MLOps best practices, utilizing cutting-edge AI technologies.

At Logic Rays, I led the development of a multi-agent sales chatbot that significantly reduced sales agent workload by 75% and increased conversion rates by 45%. I also created a stock analysis system that integrates real-time financial data with LLM insights, achieving an impressive 85% accuracy in price movement predictions. My freelance projects have further honed my skills in building intelligent chatbots and automating HR processes, demonstrating my ability to deliver impactful AI solutions.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Logic Rays

Oct 2024 - Present (9 months)

Architected and deployed an enterprise-grade multi-agent sales chatbot using LangGraph, OpenAI GPT-4, and LangChain, reducing sales agent workload by 75% and increasing conversion rates by 45%. Implemented an advanced RAG system with Weaviate vector database and integrated Tavily search API for real-time product information retrieval with 95% accuracy.

LangGraph OpenAI GPT 4 Lang Chain RAG Weaviate Tavily AWS EC2 Docker GitHub Actions

AI/ML Engineer

Freelance

Jul 2024 - Present (1 year)

Built an intelligent HRMS chatbot using the RASA framework with a custom NLU pipeline, streamlining leave and WFH request processes for 200+ employees. Implemented dynamic JSON generation with LLM for service-specific form filling, reducing processing time by 70% and eliminating manual data entry errors.

Rasa NLU LLM Docker AWS ECS MongoDB SpaCy API Integration

AI Engineer

Artoon Solutions

Feb 2024 - Present (1 year 5 months)

Developed a computer vision pipeline using YOLO v8 and MediaPipe for marriage album face detection and grouping with 88% accuracy. Processed 50,000+ images with automated face clustering using K-means and similarity matching using FaceNet embeddings.

Mediapipe MediaPipe OpenCV AWS K Means FaceNet Streamlit

AI/ML Developer

Enebula

Jan 2023 - Present (2 years 6 months)

Developed machine learning models (Random Forest, XGBoost, Neural Networks) for data-driven decision making, improving business insights accuracy by 65%. Created interactive PowerBI dashboards and reports for stakeholder communication with automated data refresh and KPI tracking.

Random Forest XGBoost Neural Networks Power BI Python SQL MLFlow Pandas scikit learn

Education

Degrees, certifications, and relevant coursework

Gujarat University

Bachelor of Science, Computer Science

Studied core concepts in Machine Learning, Statistics, and Linear Algebra, building a strong foundation in data science and artificial intelligence principles.