
Ashish Uike
@ashishuike
Software Engineer at HCLTech building ML systems and distributed backends, including a billing model with 0.91 F1.
What I'm looking for
At HCLTech, I own ML and automation workstreams across two client engagements. For the Next Billing System Automation, I built an ML data pipeline processing 4M+ records monthly and developed incremental learning models that achieved a 0.91 F1 score and 0.94 AUC-ROC.
For the Ticket Resolution Intelligence Platform, I designed a seven-agent LangGraph workflow exposed through FastAPI endpoints. I added fault-tolerant agent calls, human review with audit logging, and evidence-grounded retrieval for ticket resolutions.
I also built and published LLM Reliability Analyzer to PyPI, a diagnostic tool for LLM, RAG, and agent traces. My projects include an async tracing SDK and a RAG document Q&A platform whose Redis caching improved query speed by 117x; I’m open to SDE and MLE roles in backend engineering and data-intensive systems.
Experience
Work history, roles, and key accomplishments
Individual contributor with end-to-end technical ownership of ML and automation workstreams across two client engagements. Led the full lifecycle of ML solutions from data pipeline architecture to deployment and monitoring.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Indore
B.Tech., Mechanical Engineering
2019 - 2023
Grade: 7.6/10.00
B.Tech. in Mechanical Engineering with a CGPA of 7.6/10.00.
Availability
Location
Authorized to work in
Portfolio
murkbyash.github.io/portfolioSalary expectations
Social media
Job categories
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