
Animesh Kumar
@animeshkumar6
I build production AI, ML, and data systems that improve logistics, scoring, and recommendations.
What I'm looking for
I've built production AI and data systems at Xportel, Testera AI, and Homescanner, from autonomous news-to-post publishing workflows to logistics anomaly detection and address validation that saved $60K annually.
At Testera AI, I developed NLP candidate-response pipelines and optimized XGBoost scoring workflows, reducing average scoring latency from 3.5 seconds to 1.1 seconds. At Homescanner, I built scraping and SQL ETL pipelines for 60,000 monthly listings and improved property recommendation relevance by over 15%.
I'm also building OCR, RAG, sentiment-analysis, and data-sync projects using Python, PyTorch, Hugging Face, LangChain, FAISS, SQL, and cloud-ready application tooling.
Experience
Work history, roles, and key accomplishments
Software Engineer Intern
Xportel
May 2026 - Jul 2026 (2 months)
Engineered an autonomous AI engine converting raw industry news into publish-ready posts, auto-shipped via GitHub PRs. Integrated address validation and built shipment-anomaly detection with scheduled digests and SQL pre-filtering.
ML Engineering Intern
Testera AI
May 2025 - Jun 2025 (1 month)
Implemented an NLP pipeline to parse candidate responses and produce assessment-ready inputs in production. Benchmarked candidate-scoring pipelines using XGBoost and scikit-learn, reducing scoring latency by 69%.
Data Science Intern
Homescanner
May 2024 - Jun 2024 (1 month)
Developed Python web-scraping pipelines using Scrapy and Selenium to collect real-estate listings. Trained LightGBM ranking models and built SQL ETL to process 60k listings per month, reducing duplicates by 32%.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Delhi
B.Tech, Production & Industrial Engineering
Grade: 9.37 / 10.0
Pursuing a B.Tech in Production & Industrial Engineering with a CGPA of 9.37/10.0, expected to graduate in 2027.
Adarsh Jain Drarmic Shisksha Sadan
Class XII (CBSE), General Studies
Grade: 92.4%
Completed Class XII under the CBSE Board with 92.4%.
Mount St. Mary’s, Delhi Cantt
Class X (CBSE), General Studies
Grade: 90%
Completed Class X under the CBSE Board with 90%.
Availability
Location
Authorized to work in
Salary expectations
Skills
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