Lalit Lohani — Senior Software Engineer
As a Senior Software Engineer at HCLSoftware, I specialize in building scalable machine learning applications, primarily leveraging AutoML, FastAPI, Docker, and Python to deliver high-performance solutions. With a strong foundation in machine learning, computer vision, and generative AI, I bring both industry experience and research knowledge to my work. I hold a Master's degree in Computer Science from IIT Bhubaneswar (2024), where I focused on Pedestrian Attribute Recognition (PAR) for enhanced security applications. My thesis introduced a comprehensive dataset (PEARL30K) and a novel evaluation baseline using ViT and CLIP for improved attribute recognition, culminating in publications at ICPR 2024 , WACV 2025 and ACM Multimedia 2025. In addition to my academic background, I have hands-on expertise in machine learning, deep learning, and problem-solving, with a focus on C++, Python. I’m passionate about finding efficient, optimized solutions—whether in building systems or tackling complex coding challenges—and continuously seek opportunities to push the boundaries of technology.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in scalable application development.
Location: Noida, Uttar Pradesh, India
Experience: 3 yrs 9 mos
Skills
- Machine Learning
- Python
Career Highlights
- Expert in scalable machine learning applications.
- Published research on pedestrian attribute recognition.
- Strong foundation in computer vision and generative AI.
Work Experience
HCLSoftware
Senior Software Engineer 1 (1 yr 10 mos)
IIT Bhubaneswar
Teaching Assistant (1 yr 11 mos)
Education
Master of Technology - MTech at IIT Bhubaneswar
B..Tech at Bipin Tripathi Kumaon Institute Of Technology
10+2 at Koormanchal Academy