Supril Singh

RLM-style Codebase Analyzer

I built an experimental analyzer for large, multi-file codebases where the model does not need the whole repo pasted into context. It inspects files through code, narrows the search space, runs focused passes, and keeps only the useful findings in the main reasoning loop.

• Used the RLM idea of keeping huge inputs outside the model context and letting programmatic inspection pull in only the parts that matter.
• Split big-codebase investigation into smaller passes: locate relevant files, summarize local behavior, compare call paths, and then synthesize likely root causes.
• Designed it for multi-file debugging and architecture review, where the hard part is not reading one file but staying coherent across a large codebase.

Reference: Recursive Language Models by Prime Intellect

Traceminer

I built Traceminer to crack open undocumented APIs from messy HAR files and turn traffic noise into clean maps, SDKs, and replayable workflows.

• Handles large traces, reconstructs private API behavior, and gives developers something they can actually test instead of guessing from browser calls.
• Uses agentic workflows and sandboxed code execution so the system can reason through ugly traffic without turning every step into prompt soup.
• I shipped the product surface, backend orchestration, SDK generation, replay tooling, payments, and the developer workflow end to end.

Creator Automation Platform

A Telegram-first AI studio that turns rough ideas, links, and reference clips into short-form videos without a manual production line.

• Creators drop prompts, references, and source links in Telegram; the system ingests, queues, extracts media, and moves the job through the pipeline.
• Local and serverless AI workers generate scripts, voices, captions, subtitle timing, compositions, and final renders.
• Built the queueing, retries, publishing flow, and GPU-heavy inference boundaries so the pipeline can keep moving without babysitting.

Senior Cloud Application Developer

ZS Associates

• Architected and developed Zeus, a production monitoring platform with FastAPI, React, and role-based access control.
• Developed MST, a MicroStrategy migration automation system that handles end-to-end migration workflows and reduces manual handoffs across the process.
• Building an agentic Smart Assist chatbot that can be embedded inside Power BI dashboards and answer business questions by talking directly to Snowflake.
• Designed workflow agents that query internal APIs, transform data, and execute multi-step operations with schema validation, permission checks, structured outputs, and audit logs.
• Launched a license reconciliation system that automates entitlement checks, reminders, tracking, and deadline-based access revocation.

Cloud Application Developer

ZS Associates

• Built Java microservices for node-level health checks on AWS Lambda, Parameter Store, S3, and API Gateway, reaching 99.9% availability.
• Implemented a custom MicroStrategy SSO plugin with MSTR SDK, Open token, and SAML-based authentication.
• Designed the Chargeback module database schema and led 3 engineers through implementation with Spring Boot, Java, and Hibernate.
• Built a Python migration and transformation system across Power BI and Tableau that cut admin work by 90% and reduced turnaround from 6 hours to 1 hour.

RCOEM, Nagpur

CGPA: 7.89