Rishita Khare

Machine Learning Engineer

Bangalore Urban, Karnataka, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in machine learning and backend development.
  • Proven track record in deploying scalable ML solutions.
  • Strong foundation in software engineering and system design.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on Healthcare and Government applications.

Contact

Skills

Core Skills

Machine LearningBackend DevelopmentSystems Engineering

Other Skills

AWSCI/CDData PreprocessingDockerEdge DeploymentFacial RecognitionFastAPIMLOpsModel TrainingNLPPredictive AnalyticsPythonRedisalgorithmsdata structures

About

I’m a software and machine learning engineer passionate about designing intelligent, scalable systems that bridge data, infrastructure, and real-world impact. I’ve built and deployed microservice-based backends and machine learning workflows using Python, FastAPI, Docker, Redis, and AWS, enabling automation, efficiency, and reliable production performance. My work includes developing real-time APIs, optimizing deep learning models for speed and memory efficiency, and integrating ML pipelines into large-scale distributed systems. My strengths lie in combining strong software engineering foundations, data structures, algorithms, system design, and CI/CD, with modern ML practices such as model optimization, generative AI, and MLOps. I enjoy solving complex technical problems, improving system reliability, and translating research-grade models into production-ready software.

Experience

Roundglass living

Machine Learning & Backend Intern

May 2024Jul 2024 · 2 mos

  • Built and optimized personalized wellness recommendation models using user engagement data.
  • Collaborated with product and data teams to deploy ML solutions in a real-world healthtech app.
  • Applied NLP and predictive analytics to enhance user experience and retention.
Machine LearningBackend DevelopmentNLPPredictive Analytics

Tamil nadu e-governance agency

Machine Learning & Systems Intern

May 2023Jul 2023 · 2 mos · Chennai, Tamil Nadu, India · On-site

  • Engineered and deployed a facial recognition–based attendance system using RetinaFace and ArcFace for high-accuracy verification.
  • Led data preprocessing, model training, and inference optimization for edge deployment.
  • Scaled solution across 80+ government offices, automating attendance for thousands and boosting operational efficiency.
Facial RecognitionModel TrainingData PreprocessingEdge DeploymentMachine LearningSystems Engineering

Education

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering

Birla Institute of Technology and Science, Pilani

Master of Science

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