Headline

AI Engineer | Data Science & Engineering | AI Evaluation | Software Engineer | Machine Learning | Generative AI | Healthcare(FHIR)

About

I work in machine learning and applied AI, with experience turning ideas into working systems through research, experimentation, and engineering. I enjoy solving problems, trying new approaches, and building solutions that move beyond theory and into real use. My recent work includes developing early prototypes for an Indian Sign Language Translation system at Saraswa Consulting. This involved dataset creation, model development, API workflows, and performance improvements across multiple experimental stages. I also worked on a generative AI evaluation agent, where I helped design testing methods and improve how models are assessed in real scenarios. During my master’s thesis at NXP Semiconductors in the Netherlands, I focused on neural network quantization for edge devices. I trained and evaluated models, tested different frameworks, and produced deployment-ready recommendations that achieved strong compression with minimal accuracy loss. Earlier in my career, I worked at SplineAI as a Software Engineer, developing AI-based healthcare applications. This included building data architecture, deploying on-device deep learning models, and creating full-stack components across web, Android, and backend systems. Alongside my engineering work, I am currently teaching computer science, which allows me to share the latest tools and development methods with students. However, my core interest are in machine learning, AI, generative models, automation, and product experimentation. I am always interested in learning new technologies, applying them to real problems, and seeing how ideas behave in production environments. If you are working in similar areas, I would be glad to connect. Key Skills: • Machine Learning and AI: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, TensorFlow Lite, Ollama, PydanticAI. • Software and Web Development: Python, Java, JavaScript, Node.js, React, Tailwind, Cron Jobs. • Data Engineering and Visualization: MySQL, InfluxDB, FHIR, PostgreSQL, Tableau, Grafana • Systems and Platforms: Linux, Windows, Raspbian, CentOS, Android

Location

Bengaluru

AI stack

cursor

Work experience

AI/ML Engineer (Contract- Lenovo) at TransPerfect, Jan 2026 - Present · 10 mos, Bengaluru, Karnataka, India, – Design AI-powered localization systems and multilingual evaluation metrics across 40+ languages to measure quality and guide product readiness. – Prototype a localization translation agent for 40+ languages and a source-string search agent that helps avoid an estimated $50,000+ in localization rework. – Research and benchmark translation approaches; develop Cursor agents and skills to improve localization engineering workflows. – Lead a 5-engineer team on localization AI tooling while remaining hands-on in design, prototyping, and evaluation.

Assistant Professor at Dayananda Sagar University, Nov 2024 - Jan 2026 · 1 yr 3 mos, Bengaluru, Karnataka, India, - Instructed and mentored 200+ undergraduate students across four courses per semester, including Data Engineering, Data Visualization, Machine Learning, and Full Stack Development, achieving an average student satisfaction rating of 9.2/10. - Designed and delivered a hands-on Data Engineering course for 20+ students, integrating modern development workflows and improving project completion rates by 30% compared to the previous syllabus. - Mentored five student teams (20+ students) on end-to-end machine learning projects, with two projects receiving university-level awards for innovation and technical excellence.

AI/ML Engineer at Saraswa Consulting LLP, Jul 2023 - Nov 2024 · 1 yr 5 mos, Remote, - Led the development of an early-stage Indian Sign Language translation prototype by curating a custom dataset of 500+ signs and training a CNN–LSTM model, achieving 88% classification accuracy and deploying the solution via a Flask-based REST API. - Built a RAG-based Generative AI evaluation agent using LangChain and ChromaDB to automate GenAI model testing, reducing manual validation effort by 75%. - Re-architected machine learning pipelines across three experimental product lines through fine-tuning and model compression, reducing training time by 30% and improving inference speed by 50% for real-time deployment.

Machine Learning Intern at NXP Semiconductors, May 2022 - Dec 2022 · 8 mos, Eindhoven, North Brabant, Netherlands, Master's thesis: "Evaluation of Quantization in Neural Networks" - Evaluated 5+ state-of-the-art quantization techniques, including PTQ and QAT, for deployment on resource-constrained edge devices using TensorFlow Lite, QKeras, and SQuant. - Trained and quantized 6+ models on custom datasets of 10k+ images, achieving 95% accuracy while meeting strict on-device memory and latency constraints. - Defined production-ready quantization guidelines delivering over 70% model compression with less than 2% accuracy degradation for edge deployments.

Software Engineer (Data Engineer & Web/Android App Developer) at SplineAI, May 2019 - Apr 2020 · 1 yr, Bengaluru, Karnataka, India, -Designed and deployed a FHIR-compliant healthcare data platform on Google Cloud, implementing custom clinical data models and CRUD services that doubled engineering productivity. - Developed and deployed a mobile ML-based chest disease detection system by fine-tuning models on the NIH Chest X-ray dataset, achieving an ~10% accuracy improvement over baseline and optimizing inference using TensorFlow Lite. - Built and deployed 5+ containerized production APIs using Flask and Node.js to support real-time ML inference and secure clinical data exchange.

Education

Masters, Data Science in Engineering, Eindhoven University of Technology

Bachelor of Technology, Computer Science, nitte meenakshi institute of technology