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AI Engineer with less than a year in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
AI-ML Enthusiast and Data Science student with 0.5 years of experience in Data Analytics and Software Engineering internships. Possesses a strong foundation in machine learning, reinforcement learning, and agentic AI for developing intelligent systems. Proficient in Python, data analysis, visualization, and web development technologies like React and Node.js. Eager to contribute to innovative projects in data science and AI.
IIIT Vadodara
M.Tech CSE · Computer Science Engineering
August 1, 2025 – June 1, 2027
HPTU Hamirpur
B.Tech CSE · Computer Science Engineering
August 1, 2019 – June 1, 2023
Deloitte
Data Analytics | Trainee
May 1, 2026 – May 31, 2026
India
I - Cube Systems
Associate Software Engineer | Internship
March 1, 2023 – August 31, 2023
Noida, Uttar Pradesh, India
Agentic-Based Reinforcement Learning Framework for URLLC-Aware 5G Network Slicing Optimization
February 1, 2026 – April 30, 2026
Designed an intelligent agent-based network slicing framework for 5G, integrating Reinforcement Learning with rule-based logic for efficient resource allocation. Developed a multi-slice system (eMBB, mMTC, URLLC) using shared PRB resources, enabling dynamic allocation based on real-time network conditions. Ensured low-latency and high-reliability for URLLC through a hybrid approach combining rule-based prioritization with RL optimization.
View ProjectTransformer From Scratch Encoder Decoder Architecture for Sequence Modeling
December 1, 2025 – January 31, 2026
Implemented a Transformer model from scratch using an encoder-decoder architecture for sequence modeling tasks. Developed core components including multi-head self-attention, positional encoding, and feed-forward networks to understand deep learning architecture fundamentals. Built training and inference pipelines for sequence-to-sequence tasks, enabling effective text generation and modeling.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI/ML topics, aligning well with an AI Engineer role. The academic pursuits and personal projects show initiative and a drive for continuous learning. The diverse technical exposure (full-stack development, data analytics, AI/ML) indicates adaptability. However, the lack of team-based projects or open-source contributions makes it difficult to fully assess collaboration and broader cultural fit beyond individual technical drive.
Soft Skills & Operational Fit
The candidate lists problem-solving, leadership, teamwork, and communication as soft skills. The project descriptions indicate an ability to work independently on complex technical challenges. The internship experience at Deloitte suggests an understanding of data analysis in a corporate setting. However, the short duration of the Deloitte internship (1 month) limits the depth of operational fit assessment.