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Shashvat Aghera

@shashvataghera

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Machine learning engineer focusing on applied ML systems, model evaluation, and production robustness.

India

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What I'm looking for

I seek hands‑on roles in applied ML or AI teams where I can develop production‑scale models, improve robustness, and work on evaluation and deployment under real constraints.

I am a computer science engineer specializing in machine learning and applied AI systems, with hands‑on experience building ML pipelines, fine‑tuning models, and evaluating performance under real‑world constraints. I have driven projects that include preprocessing noisy inputs, aggregation and sentiment analysis, controlled fine‑tuning, and robust failure‑mode investigations, achieving strong internal evaluation results.

My practical work spans production‑oriented ML systems, model reliability testing, adversarial and edge‑case analysis, and rapid prototyping of AI applications using modern tooling like PyTorch and Hugging Face. I aim to deliver reliable, efficient ML solutions that balance accuracy, stability, and deployment constraints.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Intern

Current

JA Assure

Dec 2025 - Present (3 months)

Developed an ML system that ingests JSON form submissions to generate concise individual summaries and aggregated insights, and implemented preprocessing workflows to handle noisy, heterogeneous inputs for consistent outputs.

Python data preprocessing Model Evaluation Aggregation Pipelines Sentiment Analysis API Integration

PRISM Project Intern

Samsung R&D Institute India

Mar 2025 - Sep 2025 (6 months)

Contributed to applied research adapting ML models for production-scale environments, designed fine-tuning and evaluation workflows achieving 98% internal test accuracy, and performed failure-mode and edge-case analysis to improve robustness.

Model Fine Tuning Evaluation Pipelines Experimentation Robustness PyTorch

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology

Bachelor of Technology, Computer Science and Engineering

2023 -

Grade: 8.85 / 10.00

Pursuing a B.Tech in Computer Science and Engineering with coursework in Data Structures, Algorithms, Operating Systems, and Machine Learning; current CGPA 8.85/10 (up to 5th semester).