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Shailesh Upadhyay

@shaileshupadhyay

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AI Backend Engineer at WebVory building asynchronous LLM streaming services that cut p95 latency by 45%.

India

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At WebVory, I collaborated with a US-based engineering team on asynchronous FastAPI services for concurrent LLM streaming, reducing p95 latency by 45%. I also built an internal telemetry dashboard and a GitHub Actions CI/CD pipeline that helped maintain 99.9% service uptime.

Across client work and projects, I’ve shipped Next.js applications and dashboards, trained game-behavior models for sub-15ms inference, and developed an address-extraction NER pipeline. I built RADAR, an AI job-intelligence engine that evaluates jobs semantically and supports automated resume tailoring.

Experience

Work history, roles, and key accomplishments

Current

AI Backend Engineer

Current

WebVory

Jun 2026 - Present (4 months)

Collaborated with a US-based engineering team to build asynchronous FastAPI services handling concurrent LLM streaming calls with token rate-limiting and connection pooling, reducing p95 latency by 45%. Engineered a telemetry dashboard and architected a CI/CD pipeline maintaining 99.9% service uptime.

fastAPI Python AsyncIO LLM Streaming Rate limiting Connection Pooling React TypeScript PostgreSQL Redis GitHub Actions CI CD

Full-Stack and AI Developer

Devine Child Development Centre

Jan 2026 - May 2026 (4 months)

Architected the production web platform and student dashboard app using Next.js, React, and TypeScript, optimizing Core Web Vitals. Built an emotion-aware interactive system for an international client with a 7-emotion sentiment classification engine.

Next.js React TypeScript Web Development Core Web Vitals Sentiment Analysis Emotion Classification

ML Engineer

FAR Labs / Dizzaract

Dec 2025 - Feb 2026 (2 months)

Trained neural models for player behavior cloning using 30Hz telemetry data. Implemented an Inverse Dynamics model for pseudo-labeling and exported models to ONNX and TensorRT for sub-15ms production inference.

PyTorch Onnx TensorRT LSTM Transformers MLP Inverse Dynamics Model Optimization INT8 FP16

NLP Engineer

IOTA

Feb 2024 - Apr 2024 (2 months)

Engineered an end-to-end SpaCy NER pipeline to extract address entities from unstructured strings. Developed a weak-supervision generator and trained a model achieving high precision, recall, and F1 scores for client handoff.

SpaCy NER Python Weak Supervision SGD Model Training Evaluation Inference

Education

Degrees, certifications, and relevant coursework

Chandigarh University

Bachelor of Engineering, Computer Science Engineering (AI/ML Specialization)

2022 - 2026

Pursued a Bachelor of Engineering in Computer Science with a specialization in AI/ML, covering core subjects such as Data Structures, Algorithms, DBMS, Operating Systems, Machine Learning, and NLP.