SHREYANSHEWAN DEWANGAN
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ years in Data Science & Machine Learning
AI/ML Engineer with a proven track record in developing and deploying advanced machine learning models and data-driven solutions. Experienced in leveraging Deep Learning, Computer Vision, and NLP for diverse applications, including fraud detection, disease classification, and predictive analytics. Skilled in Python, AWS, GCP, and various ML frameworks, with a strong foundation in data science and full-stack development for impactful projects.
Indian Institute of Technology, Kanpur
B.Sc. · Computer Science
January 1, 2020 – January 1, 2023
Vicon School
Intermediate
January 1, 2018 – January 1, 2019
Brighton International School
Matriculation
January 1, 2016 – January 1, 2017
Mercari
ML/AI Architect
August 1, 2025 – Present
India
Microsoft
Machine Learning Intern
February 1, 2025 – May 1, 2025
India
AI Engineer (Consultant)
March 1, 2026 – Present
Evaluated and proposed 12 major RAG pipelines to identify the best performing systems for enterprise-scale deployment. Conducted comprehensive analysis of company data and client needs to architect tailored AI solutions. Provided strategic recommendations for integrating AI into existing infrastructure, improving efficiency and scalability. Delivered an interactive AI solution with a Streamlit frontend and Python AI backend.
Stock Prediction System
January 1, 2026 – Present
Developed a stock prediction system using Deep Q-Learning and Reinforcement Learning, achieving 90% accuracy. The model was trained to predict optimal buy/sell/hold decisions based on historical market data. Integrated real-time data feeds and developed strategies for robust trading simulations.
Tata Group UAV
November 1, 2025 – Present
Developed and implemented fast spatial and vector data queries using Google Earth Engine. Designed and deployed satellite-based object detection and social media analytics pipelines. Built automated workflows for data preprocessing and analysis on riverbank data, reducing manual efforts by 80%. Generated time-series based performance metrics and social media specialist insights using pandas, numpy, and sklearn models. Developed a fullstack application for managing automated detection, classification, and analysis data with React and Node.js backend. The application is currently under deployment by the Uttar Pradesh Irrigation and Water Resource Department, India.
Machine Translation System
August 1, 2025 – Present
Developed a machine translation system for English/Bengali, achieving a BLEU score of 0.413. Utilized Transformer models and implemented attention mechanisms to enhance translation accuracy and fluency. Preprocessed large datasets and fine-tuned models on Google Cloud Platform (GCP).
Multitext Classification System
August 1, 2025 – Present
Built a multi-text classification system scoring 0.425 F1 across 70+ classes. Employed advanced NLP techniques, including TF-IDF and word embeddings, and experimented with various machine learning classifiers to achieve high accuracy. Developed a robust data pipeline for text preprocessing and feature extraction.
Customer Support System
April 1, 2025 – Present
Built a customer support system providing instant, accurate answers for 100+ organizations. Integrated with Google Gemini and Llama-3.0 to handle diverse queries and automate responses, improving customer satisfaction and support efficiency. Leveraged advanced NLP techniques and large language models for understanding and generating human-like text.
Meraj: Network Optimization, BFS, DFS, and Algorithms
September 1, 2024 – Present
Leveraged graph algorithms (BFS, DFS) to optimize network routing and resource allocation in a complex system. Implemented efficient data structures and algorithms for pathfinding and network traversal. Applied to solve real-world problems in network infrastructure and logistics.
Nominated for an Inter-University Experience Project
Niigata University, Japan
June 1, 2026 – Present
Scholar Performance Index of 9.3 and 9.5
Unknown
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from customer support systems to medical image analysis and financial AI agents, demonstrates adaptability and a broad interest in applying AI across different domains. Participation in sports and mentoring activities suggests a well-rounded individual who can contribute positively to team dynamics and knowledge sharing. The experience with various companies and academic projects indicates a proactive and collaborative mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving skills, an ability to work with diverse technologies, and a results-oriented approach. The professional experience at Mercari and Microsoft, along with consultant roles, suggests an ability to integrate into operational environments and deliver tangible solutions. The academic projects also highlight initiative and independent work.