Rishika Kalra

Product Engineer

Gurugram, Haryana, India1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed advanced machine learning models for real-time applications.
Engineered innovative solutions for complex problems in computer vision.
Hands-on experience with leading tech companies in diverse roles.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and Full-Stack Development.

Contact

Skills

Core Skills

Quantitative ResearchStatistical ResearchMachine LearningData ScienceArtificial Intelligence (ai)Computer VisionFull-stack DevelopmentWeb Development

Other Skills

AlgorithmsAnalytical SkillsAngularAngular CLIAngularJSBack-End Web DevelopmentC++Cascading Style Sheets (CSS)ChatbotsClassificationCluster AnalysisCommunicationData StructuresDeep LearningEnglish

About

Passionate Electrical and Electronics Engineering student at Birla Institute of Technology and Science, Pilani, specializing in software development, machine learning, and data science. With a strong academic foundation and a robust portfolio of projects and internships, I am actively seeking to leverage my skills in a dynamic professional environment. My hands-on experience at Standard Chartered and Samsung R&D, along with advanced coursework and impactful projects, has equipped me with a diverse skill set that includes developing scalable software solutions and advanced machine learning models. I excel in optimizing workflows, enhancing system efficiencies, and developing innovative solutions to complex problems. Eager to apply my expertise to contribute to and grow within future-focused technology teams. For opportunities in AI, ML, software development,or quantitative roles, please contact me at rishikakalra9@gmail.com.

Experience

1 yr 8 mos

Total Experience

1 yr

Average Tenure

8 mos

Current Experience

Pace stock broking services pvt. ltd.

Quantitative Researcher

Oct 2025 – Present · 8 mos

High Frequency Trading Team @ Pace Stock Broking Co, Gurgaon

Statistical ResearchQuantitative ResearchPython (Programming Language)OptionsOptions StrategiesNumerical Analysis

Qicap.ai

Software Engineer

Jun 2025 – Sep 2025 · 3 mos · Bengaluru, Karnataka, India · On-site

Machine Learning Research Team @ QiCap Markets LLP, Bangalore

Retrieval-Augmented Generation (RAG)LanggraphLangChainLarge Language Models (LLM)FinanceQuantitative Finance+6

Standard chartered

Data Scientist

Jan 2025 – Jun 2025 · 5 mos · Bengaluru, Karnataka, India

GIA Audit Analytics Team @ Standard Chartered GBS, Bangalore

Generative AIMathematicsData ScienceN gramsQuantitative ResearchPython (Programming Language)+13

Birla institute of technology and science, pilani

2 roles

Researcher

Jul 2024 – Jan 2025 · 6 mos · Pilani, Rajasthan, India · On-site

Research Assistantship under Associate Prof. Kamlesh Tiwari and Associate Prof. Ashutosh Bhatia
> Engineered a preprocessing pipeline for a raw dataset of 450 videos, incorporating Gaussian noise removal and lighting enhancement to achieve optimal video quality for intoxication detection.
> Developed a video processing application using OpenCV and CarnModel super-resolution, improving facial clarity, achieving PSNR up to 36.12 dB and SSIM up to 0.885 for clearer facial images.
> Expanded dataset by collecting additional thermal images of individuals before and after alcohol consumption, enhancing model training and improving the system’s ability to distinguish between sober and intoxicated states.
> Fine-tuned deep learning models such as Convolutional Neural Networks (CNNs) with the expanded dataset, increasing accuracy and reliability in real-time intoxication detection across diverse demographics.

Neural NetworksJSON

Researcher

Jan 2024 – Jan 2025 · 1 yr · Pilani, Rajasthan, India · On-site

Research Assistantship under Assistant Prof. Tejasvi Alladi and Associate Prof. Vinay Chamola
> Developed a pothole detection system using YOLOv5, trained on a dataset of 10,000+ images, achieving 95% precision with the Unet model, significantly enhancing object detection performance.
> Engineered a novel depth estimation method based on Elliptical Paraboloid modelling, improving detection precision and providing a more accurate representation of pothole depths.
> Collaborated with Dr. Amit Choughle to enhance segmentation results and researched advanced depth estimation methods, including transitioning from 2D to 3D images, to achieve more accurate and reliable detection outcomes.

OpenCVMachine Learning AlgorithmsDeep LearningPython (Programming Language)Computer VisionResearch Skills+1