L Ashwini B

AI Researcher

New Delhi, Delhi, India1 yr 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Python, C++, and Rust programming.
Proven track record in AI and machine learning projects.
Significant experience in optimizing data processing workflows.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer with a focus on AI and Data Engineering.

Contact

lashwinib@gmail.com LinkedIn

Skills

Core Skills

Rust (programming Language)Web DevelopmentNatural Language Processing (nlp)Data SciencePython (programming Language)Data Engineering

Other Skills

AI assistantsAI integrationAPI DevelopmentAPI developmentAPI modificationAPIsARCoreAgile DevelopmentAlgorithm DevelopmentAlgorithmsAmazon Web Services (AWS)Asynchronous programmingAsynchronous workBack-End Web DevelopmentBudget Management

About

Everything Python, C++ and Rust.

Experience

1 yr 11 mos

Total Experience

7 mos

Average Tenure

1 yr

Current Experience

Opkey

Machine Learning Engineer

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · On-site

Servo

SDE intern (Outreachy '24)

Dec 2024 – Mar 2025 · 3 mos · Remote

1) Built a cross-platform dialog subsystem in Servo using enums, managing state, events, GUI (egui), and engine integration.
2) Modified Embedder API; used Serde for safe IPC of dialog state between GUI and engine.
3) Implemented DOMRectList per W3C specs; refactored getClientRects() for accurate HTML/SVG layout.
4) Replaced 2,600+ `CanGc::note()` calls with explicit `CanGc` args for better GC safety and clarity.
5) Applied context-aware GC handling rules and updated Bindings.conf for WebIDL codegen.
6) Created wrapper functions for backward compatibility with FFI/API.
7) Fixed unsafe `transmute`, zero-filled inits, and complex types using aliases and structs.
8) Ensured thread safety with smart pointers and custom `Send/Sync` wrappers.

Cross-platform developmentState managementGUI integrationAPI modificationDOM manipulationRust (Programming Language)+1

Sekurenet

LLM Engineer intern

Feb 2024 – Jul 2024 · 5 mos · United Kingdom · Remote

1) Reduced query processing time by 15% using Redis caching and FAISS while building Q&A agents and RAG bots with open-source LLMs (Mistral, Mixtral, LiteLLM, Llama), Qdrant, sentence transformers, and Hugging Face NLP libraries.
2) Built & integrated AI assistants for email and calendar tools using APIs and python libraries, improving user productivity by 10% with Phidata, VapiAI, LangChain, OpenAI, Ollama, and Groq Client.
3) Developed ClickUp RESTful API tools and PythonREPL script, enhancing testing efficiency for the team.
4) Explored self-operating computers with LLMs, YOLO, LLaVA, Moondream, SAM, and PyAutoGUI.

Query optimizationCachingAI integrationAPI developmentProductivity enhancementNatural Language Processing (NLP)+1

Thirdorigin

Python Developer

Jan 2023 – Jul 2023 · 6 mos · North Carolina, United States · Remote

1) Reduced processing time by 85.7% with asynchronous programming and batch loading for MongoDB.
2) Cut data loading time from 14 minutes to under 2 minutes using Celery, Redis, and multithreading in batch sizes of 10,000+ optimized via CPU, time and memory profiling.
3) Developed secure CRUD operations for RDBMS (MySQL, PostgreSQL) and RESTful APIs for NoSQL time-series databases (QuestDB, InfluxDB), using FastAPI, Pydantic & ORM to prevent SQL injection and reduce input errors by 40%.
4) Optimized various libraries by atleast 20% using profiling, batch processing, data structures, and testing.

Asynchronous programmingData processingCRUD operationsRESTful APIsProfilingPython (Programming Language)+1