Resume đź’Ľ
Resume đź’Ľ
EDUCATION
University of Amsterdam, Netherlands Sep 2024 - Present
Master of Science in Artificial Intelligence
Coursework: Machine Learning, Computer Vision, NLP, Deep Learning, FACT-AI, RL, IR, RecSys
Manipal University Jaipur, India Jul 2018 - Jul 2022
Bachelor of Technology in Information Technology
Coursework: Data Structures, Data Science, AI/ML, Probability and Statistics, Calculus, Linear Algebra, Modelling and Simulation
WORK EXPERIENCE AND INTERNSHIPS
TrendWatching – Amsterdam, Netherlands
AI InternJul 2025 – Aug 2025
- Architected an end-to-end pipeline integrating web crawlers for news sourcing and automated curation, designed to scale the innovation database capacity by 5x, enabling faster trend discovery and broader coverage.
- Created a recommendation engine to surface contextually similar innovative articles from large-scale raw news feeds, enhancing content relevance and enabling early identification of emerging trends.
AppVirality Technologies Pvt. Ltd. (Outplay) – Hyderabad, India
Associate Data ScientistJul 2022 – May 2024
- Designed and implemented a Conversation Intelligence pipeline to transcribe and analyze over 10,000 sales calls, integrating models for Tone Detection, Speaker Identification, and Summarization, achieving 95% accuracy across tasks.
- Trained and deployed an in-house Automatic Speech Recognition (ASR) system for real-time and offline transcriptions, with models achieving a word error rate of 25% or lower.
- Fine-tuned open-source Text-to-Speech models for voice cloning, creating natural-sounding voices for personalization and dialer phone call verification.
- Automated scaling of AWS EC2 instances, reducing server idle time and cutting monthly EC2 costs by 90%.
- Built “Live Call Assistant” using WebSockets, Kafka, and deep learning models to extract insights and trigger real-time alerts such as question-answering, speaking rate, sales pitch analysis, and ice breaker suggestions.
Data Science InternNov 2021 – Jun 2022
- Developed a Named Entity Recognition (NER) system to extract key information from Out-of-Office emails, including return dates, prospect names, and alternate contact details, with 90% accuracy.
- Constructed a novel dataset and applied prompt engineering techniques to fine-tune OpenAI's GPT-3.5 to write emails, significantly reducing response times and improving outreach efficiency.
Cornerstone Solutions Pvt. Ltd. – Bangalore, India
Machine Learning InternApr 2021 – Aug 2021
- Collaborated with the Robot Operating System (ROS) team to aid underwater bot navigation within the Gazebo simulation, finding valuable insights regarding the conditions of underwater tunnels.
- Automated underwater bot navigation by training reinforcement learning models that incorporated real-world bathymetry data and mitigated water disturbances using simulated sonar sensors.
Intentico Inc. – Bangalore, India
Machine Learning InternJan 2021 – Mar 2021
- Optimized client Chatbots with AI using Long Short-Term Memory Networks (LSTM), streamlining client processes, and improving user engagement.
- Developed sentiment analysis models for Hindi and Arabic using CNN architectures and implemented automated test scripts with Selenium for performance assessment.
Lynkit Pvt. Ltd. – Delhi, India
Data Analyst InternJul 2020 – Sep 2020
- Performed comprehensive data analysis on a vast dataset of real-time GPS device track data, comprising over 100,000 rows, and generated visualizations to extract insights.
- Developed Regression and Classification models to uncover tamper alerts in GPS-enabled RFID shipment container locks.
SKILLS AND COMPETENCIES
Programming Languages & Tools: Python, JupyterLab, Git/Github, Jira, Grafana, SonarQube, Datadog, Sentry
Databases: PostgreSQL, MongoDB, MySQL
Frameworks: PyTorch, Tensorflow, Keras, Jax, Kafka, FastAPI, Streamlit, Gradio
MLOps: Docker, MLflow, Kubeflow, Weights & Biases, Jenkins
PROJECTS
An interactive bot, incorporating the Discord API, Selenium, and LLMs (Llama). This bot enriches the Discord server experience, offering features such as meme generation, real-time tweet retrieval, and chat interactions with Large Language Models (LLMs), resulting in increased user engagement and interactive entertainment within Discord communities.
The project was an experimental venture that aimed to automate player movements in the game, driven by hand gestures captured through webcam input. It also incorporated an object detection module (YOLO) trained locally to identify targets and perform relevant in-game actions.
A user-friendly Medicare App with features including Login/Register, seamless database connectivity, blog writing, chat bot functionality, real-time mask detection, and a social distancing monitor. I was responsible for the AI training of deep learning and computer vision models.
PUBLICATIONS
Dotsinski, A.*, Thakur, U.*, Ivanov, M., Khan, M. H., & Heuss, M. On the Generalizability of “Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals”. Transactions on Machine Learning Research (TMLR), 2025. (* Equal Contribution)
Yadav, A., Thakur, U., Saxena, R., Pal, V., Bhateja, V., & Lin, J. AFD-Net: Apple Foliar Disease multi classification using deep learning on plant pathology dataset. Plant and Soil, 477, 1–17, 2022.
This post is licensed under CC BY 4.0 by the author.