Hari kiran Laveti

Machine Learning Engineer fresher with strong foundations in end-to-end ML pipelines, NLP, Generative AI (RAG, LLM fine-tuning), and backend integration. Experienced in model development, feature engineering, evaluation, and production deployment. Proficient in Python, TensorFlow, Scikit-learn, and MLOps practices. Eager to build scalable, business-driven AI solutions in a fast-paced engineering team.

Software Development Engineer Intern at Bluestock Fintech (2025-01 – Present)

• Designed and tested RESTful APIs supporting core fintech application features; built structured backend workflows aligned with ML-ready data pipelines.
• Optimised database schemas for efficient, high-throughput data retrieval — enabling downstream feature engineering and model training workflows.
• Debugged backend performance bottlenecks through iterative testing and collaborated on scalable system architecture.

Full Stack & AI Developer (Freelance) at Library Assistance Management System (2024-01 – 2025-12)

• Architected end-to-end RAG pipeline integrated into a Django web application — enabling contextual Q&A; over a large corpus with low hallucination rates.
• Built semantic retrieval layer using Ollama-based embeddings with LangChain, implementing grounded answer generation with source citations.
• Designed role-based Admin/Member dashboards and MySQL backend with CRUD optimisations for large-scale data management.

Full Stack Developer Intern at OctaNet Services (2024-05 – 2024-07)

• Engineered Flask-based e-commerce backend with secure JWT authentication, product search, cart, and order APIs designed for high-traffic scenarios.
• Designed normalised MySQL schemas with optimised indexing; built REST APIs for dynamic filtering, laying groundwork for future ML-driven search ranking.
• Developed responsive Jinja-templated frontend integrated end-to-end with backend workflows.

Data Analyst Intern at Yash Aircon (2024-01 – 2024-12)

• Analysed multi-year service datasets; trend analysis and feature engineering reduced service turnaround time by 15% — demonstrating ML-driven business impact.
• Built interactive KPI dashboards in Power BI transforming raw operational data into actionable business intelligence.
• Applied statistical analysis and feature engineering to surface operational inefficiencies and support data-driven workforce planning.

B.Tech in Computer Science & Engineering – IIIT Kalyani (2026)

Intermediate (XII) – Tirumala Junior College

SSC (X) – Sasi Educational Institutes