Headline

Ex Tech Mahindra | Open to Data Scientist & Data Engineer Roles

About

I'm a Software Engineer with nearly 2 years of hands-on experience building Machine Learning pipelines, data analytics systems, and LLM applications. I transform complex data into actionable insights and scalable AI solutions. I build Machine Learning systems that turn data into decisions. Over the past 2 years, I've shipped production ML pipelines, statistical models, and LLM applications that drive measurable business outcomes—from forecasting systems achieving 33% accuracy improvements to RAG-powered AI chatbots with 85% context-aware accuracy. I don't just build models; I analyze deeply, ensure they're production-ready, and make sure teams understand what they're actually seeing. My recent focus: generative AI and cloud-native solutions. I've built a production-grade AI document chatbot (Streamlit + LangGraph + LangChain + FastAPI) and explored fine-tuning LLMs for domain-specific tasks on Azure and GCP. I'm equally comfortable with classical ML (scikit-learn, statistical validation) and cutting-edge AI (transformers, RAG systems). Looking for: Data Scientist or ML Engineer roles where I can solve real problems with data and ship systems that matter.

Location

Bengaluru

AI stack

claude

codex

cursor

github copilot

hugging face

Work experience

Software Engineer at Tech Mahindra, Jun 2025 - Feb 2026 · 9 mos, Bengaluru, Karnataka, India, Microsoft Certified: Azure Fundamentals (AZ-900)—foundational expertise in cloud infrastructure, services, and deployment models. Microsoft Certified: Azure AI Engineer (AI-102)—proficient in building AI solutions using Azure OpenAI, Cognitive Services, and LLM applications. Earned multiple Google Cloud badges demonstrating expertise in cloud architecture, data engineering, and AI/ML services. Hands-on experience with Google Vertex AI for model training, deployment, and inference; leveraged AutoML for accelerated model development. Optimized data pipelines and analytics using BigQuery; implemented SQL-based data transformations for 100K+ record datasets with performance improvements. Fine-tuned LLMs using Vertex AI for domain-specific NLP tasks, improving model accuracy and reducing inference latency. Developed Machine Learning classification model with 91.4% accuracy; identified high-value sales leads with 92% precision and 88% recall. Implemented customer segmentation using K-Means and DBSCAN clustering; top 40% segment generated 60% revenue, validated via A/B testing (18% engagement uplift). Created NLP pre-processing pipeline reducing dimensionality by 50% and training time from 6 to 3 hours using NLTK, TF-IDF, Word2Vec embeddings. Built Power BI and Tableau dashboards with Python visuals reducing manual reporting by 80 hours/month; freed analytics team for 4 strategic initiatives.

Associate Software Engineer at Tech Mahindra, Mar 2024 - Jun 2025 · 1 yr 4 mos, Bengaluru, Karnataka, India, Trained in and proficient with Java, Spring Boot, Microservices Architecture, Spring Security, and Adobe Experience Manager (AEM). Part of a team responsible for migration of 2000+ web pages from legacy on-premise servers to cloud infrastructure using AEM, earning Best Team Award for content authoring. Developed production-grade microservices application with SQL backend, implementing JWT authentication and rate limiting for API security and performance optimization. Architected RESTful microservices with Spring Boot, demonstrating expertise in distributed systems and cloud-native application development. Contributed to core infrastructure improvements enabling scalable, secure, and maintainable enterprise solutions.

Education

Bachelor's degree, Electronics and Telecommunications Engineering, Dr. Ambedkar Institute of Technology

Pre University, PCMC, K.L.E. Society's S. Nijalingappa College (KLE SNC), Bengaluru

Public links

github: https://github.com/Sanjayvk98

portfolio-sanj.vercel.app: https://portfolio-sanj.vercel.app/