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Software Engineer with 1+ years in AI/ML & Software Engineering
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Aspiring Machine Learning Engineer with an M.Tech in ML/AI and nearly 2 years of software engineering experience at Infogain. Experienced in backend development, large-scale data processing, and enterprise payload parsing. Skilled in PyTorch, Deep Learning, Reinforcement Learning, Vision Transformers (ViT), and parameter-efficient LLM fine-tuning, with a focus on building optimized and privacy-preserving AI solutions.
Lovely Professional University
M.Tech · Machine Learning & Artificial Intelligence
August 1, 2023 – August 1, 2025
PES College of Engineering
B.E. · Computer Science & Engineering
April 1, 2018 – January 1, 2022
Infogain India Private Limited
Software Engineer
October 1, 2022 – October 1, 2023
India
Infogain India Private Limited
Software Engineer Trainee
January 1, 2022 – October 1, 2022
India
Driver Drowsiness Detection System using Hybrid CNN-Vision Transformer (ViT) architecture
August 1, 2023 – August 1, 2025
Architected a real-time driver drowsiness detection pipeline using a hybrid CNN-Vision Transformer (ViT) to extract both spatial features and long-range dependencies. Engineered a strict privacy-first training pipeline using Opacus for ɛ-Differential Privacy and MediaPipe FaceMesh to selectively pixelate identifying facial features prior to inference. Optimized the final model for edge deployment via L1 unstructured pruning and INT8 dynamic quantization, exporting the lightweight graph to ONNX. Integrated a non-blocking, multi-threaded Text-to-Speech (TTS) alerting system triggered by sustained threshold-based frame analysis.
Real-Time Crop Price Prediction System
April 1, 2018 – January 1, 2022
Developed a machine learning-based crop price prediction system using historical agricultural and weather data. Utilized factors such as rainfall, temperature, and seasonal trends to forecast crop prices. Implemented and evaluated a Naive Bayes model for predictive analysis and decision support.
Complete Generative AI Course With Langchain and Huggingface
Udemy
June 1, 2026 – Present
Complete MLOps Bootcamp With 10+ End To End ML Projects
Udemy
June 1, 2026 – Present
Artificial Intelligence A-Z 2026: Agentic AI, Gen AI & RL
Udemy
March 1, 2026 – March 1, 2026
Machine Learning A-Z: AI, Python & R
Udemy
February 1, 2026 – February 1, 2026
Deep Learning A-Z 2026: Neural Networks & AI
Udemy
February 1, 2026 – February 1, 2026
Cultural Fit Analysis
The candidate's academic projects show a strong interest in cutting-edge AI/ML topics like Vision Transformers and privacy-preserving AI, which aligns well with innovative and research-oriented cultures. Their professional experience in enterprise Java development, coupled with a desire to transition into Machine Learning Engineering, indicates adaptability and a drive for continuous learning. The mentorship experience further suggests a willingness to contribute to team growth and knowledge sharing.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex data parsing and transformation tasks. Their experience in mentoring junior interns suggests good leadership potential and a collaborative mindset. The focus on privacy-first design and optimized deployment indicates an understanding of real-world operational constraints and best practices in AI/ML.