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Hi, I’m Ale Anwesh, an AI/ML engineer and problem-solver currently pursuing a B.Tech in AI and Data Science at IIT Jodhpur. I enjoy building scalable AI stacks, production-grade pipelines, and data-driven products that make complex solutions usable in the real world. I love collaborating with founders, selecting the right models and infrastructure, and turning insights from data into practical outcomes. When I’m not coding, I’m exploring new ML ideas, improving agent quality, and sharing learnings with the community.…Hi, I’m Ale Anwesh, an AI/ML engineer and problem-solver currently pursuing a B.Tech in AI and Data Science at IIT Jodhpur. I enjoy building scalable AI stacks, production-grade pipelines, and data-driven products that make complex solutions usable in the real world. I love collaborating with founders, selecting the right models and infrastructure, and turning insights from data into practical outcomes. When I’m not coding, I’m exploring new ML ideas, improving agent quality, and sharing learnings with the community.

Ale Anwesh

Data Scientist, AI Engineer, AI Developer, +5

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Hi, I’m Ale Anwesh, an AI/ML engineer and problem-solver currently pursuing a B.Tech in AI and Data Science at IIT Jodhpur. I enjoy building scalable AI stacks, production-grade pipelines, and data-driven products that make complex solutions usable in the real world. I love collaborating with founders, selecting the right models and infrastructure, and turning insights from data into practical outcomes. When I’m not coding, I’m exploring new ML ideas, improving agent quality, and sharing learnings with the community.…Hi, I’m Ale Anwesh, an AI/ML engineer and problem-solver currently pursuing a B.Tech in AI and Data Science at IIT Jodhpur. I enjoy building scalable AI stacks, production-grade pipelines, and data-driven products that make complex solutions usable in the real world. I love collaborating with founders, selecting the right models and infrastructure, and turning insights from data into practical outcomes. When I’m not coding, I’m exploring new ML ideas, improving agent quality, and sharing learnings with the community.

Available to hire

Hi, I’m Ale Anwesh, an AI/ML engineer and problem-solver currently pursuing a B.Tech in AI and Data Science at IIT Jodhpur. I enjoy building scalable AI stacks, production-grade pipelines, and data-driven products that make complex solutions usable in the real world.

I love collaborating with founders, selecting the right models and infrastructure, and turning insights from data into practical outcomes. When I’m not coding, I’m exploring new ML ideas, improving agent quality, and sharing learnings with the community.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Javanese

Advanced

Work Experience

AI Engineer Intern at ActionSync

September 1, 2025 - November 28, 2025

Architected an asynchronous data pipeline for Google Drive & OneDrive, cutting redundant processing by over 80% and enabling near real-time sync via an intelligent change-detection module. Deployed a hybrid agentic search system with LangChain & OpenAI, boosting contextual relevance and reducing query latency by 40% by intelligently arbitrating between keyword and vector search.

Data Science & Business Analyst Intern at Snapmint

August 1, 2025 - August 1, 2025

Engineered an end-to-end user segmentation pipeline (Python, SQL, Spark) for 700K+ records, deploying ML models (XGBoost, NNs) that boosted campaign CTR and purchase rates by 4x. Partnered with marketing and product teams to automate campaigns using the predictive model, directly translating the 4x performance boost into a 40% reduction in customer acquisition costs and a 25% increase in sales.

Founding AI Engineer at Wisemate

March 1, 2026 - Present

Joined as first AI hire of an early-stage AI sales-agent platform; owning the 0→1 AI stack including ICP profiling and outbound outreach agents for MVP launch. Architecting agentic workflows with LangGraph, orchestrating multi-provider LLM calls (OpenAI, Anthropic, Gemini) behind a unified FastAPI service with provider-level fallback and cost routing. Collaborating with founders on product, model selection, and infrastructure decisions; building internal evaluation harnesses to benchmark agent quality across providers before production rollout.

Data Science Intern at Kavida.ai

October 1, 2025 - November 1, 2025

Shipped a production SQL Explainer agent that converts LLM-generated SQL (from an upstream text-to-SQL agent) into plain-English explanations, improving analyst trust and reducing manual query review for an AI procurement-automation platform. Integrated Apache Flink for real-time stream processing of query telemetry, enabling continuous feedback on agent-generated SQL quality.