AAKASHI JAISWAL
Applied AI Engineer
Bangalore, Karnataka, India
@aakashi
0 followers
About
Applied AI Engineer with experience in front-end development and founder’s office operations, plus hands-on work building RAG systems, AI coding agents, and multilingual voice AI applications. Comfortable working across product, engineering, and operations to ship practical AI-enabled software.
Experience
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Founder's Office InternAdroPardiMar 2025 – Dec 2025
Oversaw digital operations across website functionality, performance, user experience, and technical coordination. Collaborated with cross-functional teams spanning product, engineering, marketing, creative, and operations to translate business requirements into actionable deliverables. Supported platform improvements through content management, workflow coordination, and implementation of requested changes.
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Front-end EngineerTeelureSep 2024 – Dec 2024
Maintained and improved an e-commerce website, implementing UI updates, product catalog changes, and usability improvements. Supported e-commerce operations involving inventory management, order processing, and logistics coordination. Collaborated on website updates and operational workflows to improve the online shopping experience.
Education
- 2026
Skills
Tools / apps / platforms
Projects
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Bodh - Multilingual AI Voice CompanionPython, FastAPI, SSE, Sarvam Saaras STT, sarvam-105b-conversations LLM, Bulbul TTS
Multilingual voice AI application for English, Hindi, and code-mixed conversations with a streaming speech-to-LLM-to-speech pipeline and an offline evaluation suite.
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NanoCode - AI Coding Agent HarnessPython, OpenRouter
Python-based AI coding agent with iterative LLM tool calling, file operations, shell execution, web tools, configurable model selection, permission-based execution, read-only Plan Mode, and context compaction.
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DocuMind - Intelligent PDF RAG SystemReact, Node.js, Qwen3 4B
Full-stack RAG application for document search, conversational Q&A, and source-grounded answers. Improved BM25 Recall@6 from 42.3% to 84.6% on a synthetic dataset and added structured-output validation and source-quote verification.
🎯 Hobbies & interests
- Reading
- Running