Headline

Data Scientist @Kyndryl | Machine Learning, Forecasting & Data Science | Software Developer

About

I’m a passionate Software Engineer and AI/ML Developer with hands-on experience in building intelligent systems that combine data science, automation, and natural language processing (NLP). I specialize in developing scalable machine learning pipelines, data-driven applications, and automation solutions that drive accuracy, performance, and business efficiency. My work spans ML model development, backend engineering, and data analytics, leveraging tools such as Python, TensorFlow, PyTorch, Flask, and Streamlit, while integrating modern development practices like Agile, CI/CD, and cloud-based analytics. 💡 What I Do Best ✅ Machine Learning & NLP Development – Building advanced ML models for classification, text analysis, and contextual understanding using Python, TensorFlow, and PyTorch. ✅ Software Engineering & Automation – Designing end-to-end software solutions integrating data science models into production-ready applications. ✅ Data Analytics & Visualization – Transforming complex datasets into actionable insights using SQL, Tableau, and PowerBI. ✅ AI Research & Model Optimization – Contributing to innovative projects on hallucination detection in LLMs, and emotion recognition through audio analytics. ✅ Technical Writing & Documentation – Creating detailed documentation, runbooks, and research papers that translate complex concepts into accessible knowledge. 🧠 Tech Stack & Tools - Languages: Java, C++, Python, JavaScript, Shell Scripting - Frameworks & Libraries: TensorFlow, PyTorch, Flask, Django, BeautifulSoup, Streamlit, Scrapy - Databases: PostgreSQL, MongoDB, SQL - Analytics Tools: Tableau, PowerBI, IBM Cognos - Methodologies: Agile, Scrum, Kanban, CI/CD - Platforms: AWS, Linux - Soft Skills: Leadership, Communication, Team Collaboration, Problem Solving, Adaptability

Location

Kanpur

AI stack

claude

deepseek

github copilot

grok

langchain

openai

Work experience

Software Engineering – Technical Specialist at Kyndryl, Apr 2025 - Present · 1 y 5 mo, Bengaluru, Karnataka, India, ✨ Key Contributions: 🤖 Developed a robust machine learning–based ticket classification system, processing over 3,00,000+ data points across diverse categories and subcategories to enhance incident triaging and resolution. 🧩 Designed and deployed an interactive Streamlit application that visualizes classification results, enabling faster issue identification and operational efficiency. ⚙️ Built and optimized automated ML pipelines for accurate categorization and continuous learning, improving prediction accuracy and workflow automation. 📈 Spearheaded the integration of AI-driven analytics into existing ITSM workflows, reducing manual intervention and boosting process efficiency.

Software Engineer at CyberForge Academy, Jul 2024 - Dec 2024 · 5 mo, Chandigarh, India, ✨ Key Contributions: 🧠 Engineered and deployed an AI-powered Resume Parsing System to automate candidate data extraction, enhance skill evaluation accuracy, and generate contextual feedback. ⚙️ Designed and implemented a Quiz Generator API for creating dynamic interview and learning assessments on Data Science and DSA concepts, driving interactive engagement. 📊 Developed data-driven educational dashboards for tracking user progress, performance metrics, and analytical insights. 🌐 Built robust web scraping and aggregation pipelines to collect and analyze job-related datasets from multiple online platforms, improving data accessibility and accuracy. 🤝 Collaborated with cross-functional teams of developers and data scientists to streamline automation workflows and ensure scalable, production-ready deployment.

Education

Master of Technology - M.Tech, Artificial Intelligence and Machine Learning, Birla Institute of Technology and Science, Pilani

Bachelor of Technology - BTech, Artificial Intelligence, Lovely Professional University