Anisha Kushwaha
ML Engineer | Gen AI, NLP, Deep Learning | Cloud-Native ML Solutions, MLOps | Published Researcher | Open to Innovation
- Role
- Ai Ml Engineer at Brainwaves Digital
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Anisha Kushwaha
I am an AI/ML Engineer and Researcher with a strong foundation in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Reinforcement Learning. My work bridges the gap between cutting-edge research and scalable production deployment, helping organizations unlock real business value through AI innovation. I have led the design and implementation of complex AI solutions across industries, including- Developing an AI-powered Agentic Document Management Platform leveraging OCR (Tesseract), LLMs (GPT-4o-mini), and fine-tuned LayoutLM models, achieving 95% F1-scores for document classification and 98% extraction accuracy- Architecting retrieval-based finance chatbots using RAG pipelines with GPT-4 and LangChain, ensuring precise information retrieval from sensitive knowledge bases and enhancing operational efficiency- Applying reinforcement learning (DQN, Policy Gradients) and transformer models (BERT, XLNet) to optimize retrieval and grading systems- Contributing to research published in Xplore and Elsevier in areas such as colon cancer diagnosis, diabetes risk prediction, and software effort estimation. My technical expertise includes Python, PyTorch, TensorFlow, Hugging Face, LangChain, Azure, AWS, Kubernetes, MLFlow, and CI/CD automation. I have engineered production-grade AI systems, from model training, evaluation, and optimization to scalable deployment using cloud-native solutions. I am passionate about building reliable, interpretable, and ethical AI systems. I bring a research-driven mindset, strong collaboration skills, and an unwavering focus on delivering impactful AI solutions — whether by advancing fundamental models or deploying scalable pipelines in dynamic production environments. I am actively seeking to apply my skills at technology-forward organizations where innovation, rigor, and real-world impact meet.
Experience
Ai Ml Engineer
Jan 2025 — Present · TX, US
Education
Andhra University
Bachelor of Technology - BTech
2016 — 2020
Northeastern University
Master of Science - MS
2022 — 2024
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