Aashish Kumar

Led architecture and development of a full-stack GI artisan e-commerce platform using Next.js, React, TypeScript, and Supabase. Built a FastAPI, LangChain, and ChromaDB RAG chatbot grounded in Indian GI product and women artisan research, with multi-turn conversational memory. Implemented role-based access control across customer, artisan, admin, and delivery workflows, with Stripe and Razorpay payment integration.

AI/ML Engineer & Technology Lead at KalaStree (Present)

• Led architecture and development of a full-stack GI artisan e-commerce platform using Next.js, React, TypeScript, and Supabase.
• Built a FastAPI, LangChain, and ChromaDB RAG chatbot grounded in Indian GI product and women artisan research, with multi-turn conversational memory.
• Implemented role-based access control across customer, artisan, admin, and delivery workflows, with Stripe and Razorpay payment integration.
• Designed evidence-grounded AI retrieval and production API workflows connecting research intelligence with direct-to-artisan commerce.

Associate AI Engineer at Devputers (2025-06 – 2026-04)

• Designed and deployed scalable AI-enabled web applications using Django and FastAPI, implementing secure authentication (JWT) and modular REST API architecture.
• Developed "Hindi Meaning App (मतलब क्या)", an AI-powered English learning assistant enabling Hindi-to-English translation and contextual explanations using LLMs.
• Integrated LangChain with OpenRouter APIs to orchestrate conversational AI workflows and manage persistent chat history.
• Implemented dual interaction modes: real-time translation engine and conversational teacher mode with contextual examples.
• Integrated voice input (speech-to-text) and Hindi text-to-speech (gTTS) for interactive language learning.
• Designed structured conversation memory handling using LangChain message history for session persistence.
• Developed real-time communication features using Django Channels and WebSockets, enabling live system updates.
• Architected PostgreSQL database schemas with optimized indexing and query tuning for high-performance systems.
• Containerized backend services using Docker and docker-compose, enabling consistent development and deployment.
• Implemented API features including pagination, filtering, rate limiting, and role-based access control.

ML Researcher at Indian Space Research Organisation (ISRO) (2025-03 – 2025-06)

Internship

• Implemented deep learning models on satellite-derived ocean datasets, optimizing prediction of ocean patterns using MSE and R² metrics.
• Preprocessed netCDF satellite data with histogram matching and normalization to standardize distributions across multi-sensor inputs.
• Extracted spatiotemporal features and engineered input variables (sp_inc_angle, ddm_snr, ws) for model training.
• Applied Levenberg–Marquardt optimization to fine-tune model parameters for improved convergence and reduced error in oceanic predictions.
• Validated outputs against historical satellite observations and integrated models into forecasting pipelines, enhancing reliability for climate prediction.

MLOps Quality Analyst at Wipro (2023-03 – 2025-03)

• Labeled and quality-checked 10,000+ 2D/3D images, achieving 98% dataset accuracy for CV models.
• Enhanced NLP/GenAI pipelines using NLTK error detection and LangChain prompt optimization, boosting F1 by 11%.
• Designed evaluation workflows for LLM outputs, reducing hallucinations and improving reliability by 15%.
• Collaborated with domain experts to reduce annotation rework by 25% and improve dataset delivery compliance by 20%.

Data Scientist at Turingminds (2022-06 – 2023-03)

• Built ML classification models using Scikit-learn with 87% accuracy.
• Optimized feature selection and preprocessing pipelines, reducing training time by 30%.
• Developed deep learning models for NLP and time series forecasting, improving accuracy by 18%.

M.Tech in Artificial Intelligence & Data Science – Indian Institute of Technology, Patna (2024-07 – 2026-07)

B.Tech in Mechanical Engineering – Sagi Ramakrishnam Raju Engineering College, Bhimavaram (2018 – 2022)