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AI & ML Engineer⚙️|Top AI Innovator 2024🏆|#1 Partner for Businesses to Integrate AI,Cut Costs,Save Time & Boost Revenue🚀|Helped 150+ Companies Transform Operations|Trusted by 50+ Leading Brands for AI-Driven Growth📈
𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: 🌍 6+ years of hands-on experience in AI, Machine Learning, and Data Science with deep involvement in Generative AI and NLP solutions. 🧠 Actively contributing to AI-led transformations and driving impact by building intelligent systems that solve real-world Business Problems. 🤖 Specialized in designing and deploying chatbots, RAG pipelines, and automation tools tailored for diverse industries. 📊 Experienced in delivering full-cycle AI solutions—from data acquisition to model deployment and business insights. 💼 Collaborative experience delivering end-to-end AI solutions across healthcare, finance, manufacturing, retail, B2B SaaS and E-commerce. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔹 Generative AI: RAG, LLM fine-tuning, LangChain, Google GenAI, OpenAI, FAISS, Pinecone. 🔹 Machine Learning & NLP: Model building, Scikit-learn, TensorFlow, PyTorch, text processing. 🔹 End-to-End AI Development: From data engineering to backend APIs and deployment using Flask, FastAPI, Render. 🔹 Cloud Platforms: AWS (S3, EC2), GCP, Git, Docker, MongoDB, PostgreSQL. 🔹 Insight-Driven Approach: Data storytelling, dashboard creation, and actionable strategy using real-time analytics. 🔹 Solution-Oriented Mindset: Known for solving complex problems with a strong balance of technical skill and business acumen. 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞: I’m passionate about solving business challenges through AI. With a unique mix of technical depth and strategic thinking. My approach focuses on solving business challenges with smart, scalable AI systems that deliver measurable value. I'm currently collaborating with cross-functional teams and helping organizations adopt AI across their operations, while also exploring exciting new tools and frameworks in the space. Whether it's scaling intelligent automati
SYMBIOSIS INTERNATIONAL UNIVERSITY
Master of Technology - MTech, Artificial Intelligence and Machine learning
N/A – Present
Renvis s.r.o.
Artificial Intelligence Engineer
August 1, 2023 – Present
Pune, Maharashtra, India
Maxge Pvt.Ltd
Data Scientist
June 1, 2020 – May 1, 2023
Pune, Maharashtra, India
SpaceX Falcon 9 rocket landing prediction
February 1, 2023 – March 1, 2023
SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars, other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. The project task is to predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully
Automatic Number plate recognition using opencv
October 1, 2022 – November 1, 2022
Our goal was to improve the accuracy by using different Deeplearning algorithm, before accuracy was 84% and after applying Deeplearning Learning Algorithms it reached upto 92%
Heart Disease Prediction Using Supervised Learning Techniques
July 1, 2022 – August 1, 2022
In this project I have taken heart disease dataset and developed a Heart disease prediction model using supervised learning techniques and obtaining accuracy of 84 %
Data Analytics Professional Certificate
June 25, 2026 – Present
IBM Developer Skills Network
IBM
June 25, 2026 – Present
IBM Developer Skill Network
IBM
June 25, 2026 – Present
IBM Certified Applied DataScience Capstone
Coursera
June 25, 2026 – Present
IBM DATASCIENTIST PROFESSIONAL CERTIFICATE
IBM
June 25, 2026 – Present
Full Stack Web Developer
upGrad Campus
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (rocket landing, ANPR, heart disease prediction) shows a breadth of interest in applying ML across different domains. The target role of ML Engineer aligns well with their educational background and professional experience. However, the lack of detailed project descriptions and team collaboration insights limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.