Anvit kumar

AI Researcher

Prayagraj, Uttar Pradesh, India4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed an NLP pipeline achieving 97% accuracy.
Developed predictive models for mental health analysis.
Optimized LLM workflows, reducing processing time by 40%.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Healthcare and AI technologies.

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Skills

Core Skills

Machine LearningNlpDeploymentHealthcare Ai

Other Skills

3D ModelingAlibaba CloudAnomaly DetectionApplication OptimizationAutomated Machine Learning (AutoML)Automatic Text SummarizationBayesian OptimizationC++CI/CDClinical AnalyticsClinical Data ManagementClinical MonitoringClinical Quality Improvement SystemsComputer EngineeringData Centers

About

I’m Anvit Kumar — a passionate and hands-on learner driven by the vision of building intelligent, human-centric technologies that shape the future. From designing world’s most affordable non-contact IoT medical devices and developing AI-powered fraud detection systems, to experimenting with speech analysis, cloud motion prediction using diffusion models, and building robotics & embedded solutions with ESP32 and microcontrollers — my journey blends deep tech with real-world impact. 🔍 Key areas I’m exploring: • Generative AI & Large Language Models (LLMs) • Signal & Speech Processing • Robotics & Automation • IoT systems and embedded hardware design • Computer Vision and NLP applications • Cloud-integrated systems and smart devices 🏆 What drives me: I thrive at the intersection of software, hardware, and AI — constantly pushing boundaries through projects, hackathons, open-source contributions (SSOC contributor), and research-inspired prototypes. Currently interning at Celebal Technologies, I’m sharpening my skills in enterprise AI solutions. 🌱 Beyond code: I believe in lifelong learning, sharing knowledge, and collaborating with teams to transform bold ideas into scalable products. My mission: to become not just a great developer or engineer, but a visionary technologist who contributes meaningfully to society. Let’s connect! Whether you want to discuss ML, robotics, embedded design, or the next big AI idea — I’m always open to new collaborations and conversations.

Experience

Celebal technologies

Data Science Intern

Jun 2025 – Jul 2025 · 1 mo

Spam Mail Detection Pipeline: Designed and deployed an NLP-based classification pipeline (97% accuracy) for 50k+ emails/day using Python and FastAPI. Applied statistical modeling, text preprocessing, and supervised learning. Generative AI & Automation: Optimized LLM workflows for document review, reducing processing time by 40%. Experimented with prompt engineering, embeddings, and retrieval augmentation. Deployment & Monitoring: Implemented containerized ML services with Kubernetes + CI/CD, integrated Prometheus/Grafana dashboards for model inference latency and accuracy monitoring.

Python (Programming Language)FastAPIStatistical ModelingSupervised LearningKubernetesCI/CD+2

Spiritual data

Machine Learning Researcher

Feb 2025 – Jul 2025 · 5 mos

Predictive Modeling for Digital Biomarkers: Developed anomaly detection and LSTM-based predictive models on multimodal sensor/text data to analyze patterns in consciousness and mental health. Explainability & Ethical AI: Integrated SHAP/LIME for model explainability in healthcare research, ensuring transparency in clinical insights. Research Contributions: Conducted literature review, ran experiments with probabilistic models, and co-authored drafts for ongoing publications on AI in holistic wellness.

Anomaly DetectionLSTMProbabilistic ModelsSHAPLIMEMachine Learning+1