Mayank Vanik
@mayankvanik
Results-driven AI/ML Engineer with expertise in scalable solutions.
What I'm looking for
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
AI/ML Engineer
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.
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.
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.
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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