AI Intern @ WSP | Open Source Developer @ Agent Orchestrator | Ex SWE Intern @ Orydle AI | Ex AI/ML Intern @ DevX AI Labs | ML & LLM Engineer | AI Backend & Data Science | CSE (DS) @ MUJ

Bengaluru, Karnataka, India


Remote

On-site

Jaipur, Rajasthan, India

On-site







Bachelor of Technology - BTech, Computer Science
Manipal University Jaipur

Class 12 - Integrated PCM
Narayana Institute
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Download Tal BossAI Intern @ WSP | Open Source Developer @ Agent Orchestrator | Ex SWE Intern @ Orydle AI | Ex AI/ML Intern @ DevX AI Labs | ML & LLM Engineer | AI Backend & Data Science | CSE (DS) @ MUJ
Final-year CS student (Data Science) at Manipal University Jaipur, building production-ready AI systems at the intersection of machine learning, LLMs, and scalable backend engineering. I've shipped real products — an AI-powered finance management assistant, an insurance advisory bot, and an LLM-driven trade intelligence platform — using Python, FastAPI, RAG pipelines, and agentic AI workflows. What I focus on: Machine Learning & Predictive Modeling LLM applications, RAG pipelines & Agentic AI Backend engineering with FastAPI & REST APIs Data-driven product development Currently interning at Orydle AI (SWE) and previously at DevX AI Labs (AI/ML) — I thrive in fast-moving teams where I can own problems end-to-end. Open to internship / full-time roles in: AI/ML Engineering | Software Engineering | Data Science | Backend Development yashmaheshwari8983@gmail.com yashmaheshwari.is-a.dev github.com/ApexYash11
Bengaluru
codex
langchain
langgraph
opencode
ChatGPT
Wispr Flow
Artificial Intelligence Intern at WSP in India, Jul 2026 - Present · 3 mos, Bengaluru, Karnataka, India
Open Source Developer at Agent Orchestrator, Jul 2026 - Present · 3 mos
Software developer intern at Orydle AI, Jan 2026 - Apr 2026 · 4 mos, Remote, Built cloud IDE backend with FastAPI and PostgreSQL, incorporating async architecture, WebSocket streaming, and distributed workflow execution with checkpointing and fallback paths Implemented GitHub API integration for automated codebase crawling — repository ingestion, branch-level indexing, and context retrieval pipelines across entire codebases Engineered full backend data pipeline (chunking, vector indexing, reranking) for semantic code search; improved backend throughput by 30% via optimized async design Designed structured output schemas and prompt optimization strategies reducing external API cost by 25%; built fallback and retry logic for agent reliability Architected microservices-based system with modular autonomous agent components, distributed task queues, and real-time streaming interfaces
AI/ML Intern at devx AI labs, Dec 2025 - Jan 2026 · 2 mos, On-site, Built production ML forecasting engine (SARIMAX + Scikit-learn) with end-to-end feature engineering pipeline; improved prediction accuracy by 70% Developed scalable FastAPI inference pipelines with async endpoints; implemented Pandas and NumPy preprocessing reducing data preparation time by 40% Designed and maintained eval sets and regression tests to catch model drift pre-deployment; established structured quality scoring per workflow Built automated business report generation system using Hugging Face Transformers; documented experiments, prompt templates, and evaluation results Optimized PostgreSQL query patterns and data access layers for inference pipeline performance
General Secretary at IEEE RAS MUJ, May 2025 - May 2026 · 1 yr 1 mo, Jaipur, Rajasthan, India, Directed overall chapter operations for a 100+ member robotics and automation society, overseeing technical events, workshops, and inter-team initiatives Coordinated with faculty advisors, university administration, and external organizations to represent the chapter at institutional and national levels Drove member engagement and retention by planning semester-wise technical and non-technical activities across the academic year
Head of Logistics at IEEE RAS MUJ, Sep 2024 - May 2025 · 9 mos, On-site, Managed end-to-end logistics for MUJHackX hackathon — venue setup, scheduling, vendor coordination, and on-ground execution across a 3-month planning cycle Handled resource allocation, budget tracking, and team coordination across multiple concurrent workstreams during large-scale events Streamlined operational workflows between core committee teams, ensuring smooth execution from planning through post-event wrap-up
Bachelor of Technology - BTech, Computer Science, Manipal University Jaipur
Class 12 - Integrated PCM, Narayana Institute
github: https://github.com/ApexYash11
yashmaheshwari.is-a.dev: https://yashmaheshwari.is-a.dev/