Dipesh Pal
@dipeshpal
I build production GenAI, LLM, RAG, and multi-agent systems.
What I'm looking for
I've built production-grade GenAI, LLM, RAG, and multi-agent systems at Systango, Zdaly, GsLab, and Calsoft. At Systango, I reduced distributed QLoRA finetuning time by approximately 30% and training costs by approximately 20%, while multi-agent task routing reduced manual triage by 40%.
I build scalable, low-latency AI products using OpenAI models, FastAPI, Docker, vector databases, and cloud services. My work spans LLM-powered catalog analysis, customer support, procurement, productivity tools, ticket classification, price prediction, anomaly detection, forecasting, and GAN-based avatar generation.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
Systango
Dec 2023 - Present (2 years 8 months)
Designed and implemented distributed finetuning workflows using QLoRA, reducing training time by ~30% and cutting training costs by ~20%. Built multi-agent orchestration using OpenAI Agent SDK + PydanticAI for real-time task routing, improving routing accuracy and reducing manual triage effort by 40%.
Senior Machine Learning Engineer
Zdaly
Feb 2023 - Jul 2023 (5 months)
Built an LLM-powered product catalog analyzer that improved lookup accuracy by 45%. Designed a vector-based similarity search pipeline using Weaviate for real-time customer recommendations.
Machine Learning Engineer
GsLab
Jan 2022 - Jan 2023 (1 year)
Developed a ticket classification model using ULMFit + FastAI that improved routing accuracy by 38%. Automated price prediction system using TensorFlow & Scrapy, processing 100k+ product datapoints.
Machine Learning Engineer
Calsoft
Aug 2019 - Jan 2022 (2 years 5 months)
Built an avatar generator using GANs (DCGAN, StyleGAN) trained on 143k+ images. Implemented virtualization automation PaaS platform using TensorFlow, reducing VM provisioning time by 27%.
Education
Degrees, certifications, and relevant coursework
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Engineering, Computer Science
Grade: 7.5 CGPA
Bachelor of Engineering in Computer Science from Rajiv Gandhi Proudyogiki Vishwavidyalaya, completed in 2019.
M.P. Board
Secondary School, General Studies
Grade: 80%
Secondary school education from M.P. Board, completed in 2013.
Acropolis Institute of Technology and Research
Higher Secondary, General Studies
Grade: 75%
Higher secondary education from Acropolis Institute of Technology and Research, Indore.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
dipeshpal.inPortfolio
dipeshpal.inJob categories
Skills
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