Rhythm Bindal
Open to work2 years experienceAI Engineer
AI Engineer at J.P. Morgan Chase specializing in agentic workflows and GenAI.
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
40 skillsWork Experience
Software Engineer 2 (AI Engineer)
J.P. Morgan Chase
- Fast-tracked from SWE I to SWE II in 1.5 years for high-impact delivery of AI solutions and agentic workflow automation across security services trade lifecycle; flagship project: TRAIT (testing prioritization)
- Architected and deployed an MCP (Model Context Protocol) server as lead developer for enterprise-grade agentic test automation in asset servicing — integrating 6+ heterogeneous data sources (relational databases, legacy data silos, APIs) to enable autonomous test data procurement, test case generation, prioritization, and end-to-end validation pipelines
- Designed a production-grade multi-agent system for Asset Servicing validations using an internal Agentic SDK, orchestrating 10+ agents with hierarchical delegation, tool-calling, and memory layers to enable autonomous end-to-end financial workflow execution; architected connective tissue between LLM models and legacy enterprise infrastructure
- Built and deployed two GenAI solutions for code validation, cutting regression times by 85% and delivering insights 4x faster via modular ML architecture on Azure AI frameworks; implemented LLM evaluation and observability pipelines to ensure accuracy, safety, and latency requirements at enterprise scale
- Engineered SWIFT Sync AI to validate 20,000+ SWIFT trading messages with LLM-powered validation achieving 80% accuracy improvement and 30% cost reduction; built evaluation and observability frameworks meeting accuracy and latency requirements for annual SWIFT upgrades
Data Analyst Intern
YogaBar
- Designed & automated data pipelines using Selenium, DigitalOcean & Metabase, scraping and processing 100k+ weekly records across 7+ e- commerce platforms impacting 50+ SKUs
- Boosted campaign ROI by 20% via clustering analysis on 500k+ user behavior samples using Pandas and SciPy
- Integrated SQL with Metabase to automate financial P&L reports, reducing manual operations by 50+ hours monthly
Data Science Intern
RocketML
- Fine-tuned ResNet models for satellite imagery classification, achieving 99%+ accuracy through advanced deep learning architectures and optimized hyperparameter tuning
- Optimized inference speed and model performance within the proprietary rmldnn framework using systematic hyperparameter search
Projects
PolicyPilot
- Architected a 4-agent regulatory intelligence system with LangGraph DAG orchestration (parallel RetrieverAgent, CrossRefAgent, ChangeDetectorAgent → ReportWriterAgent); hybrid retrieval (ChromaDB dense + BM25 sparse via Reciprocal Rank Fusion) over 50+ regulatory PDFs with structured citations and confidence scoring
- Implemented semantic diffing between policy versions using cosine similarity on sentence-transformer embeddings to surface genuine rule changes; deployed FastAPI + Streamlit stack on 100% free-tier (Google Gemini 1.5 Flash + local embeddings, zero API cost)
AgentWatch
- Engineered an LLM agent observability platform using OpenTelemetry spans for distributed tracing of LangGraph multi-agent workflows; captures token usage, tool call graphs, agent state transitions, latency breakdowns, and cost-per-request tracking in real-time across DAG nodes
- Designed an automated RAG evaluation harness with LLM-as-judge scoring and hallucination detection; built Streamlit dashboard for multi- run experiment comparison across prompt variants, retrieval strategies, and model configurations
EV Charging Routing (Patent Published)
- Engineered a predictive routing solution for EVs, merging road network graphs with real-time EV station data to optimize navigation by battery state; increased user satisfaction by 40% and reduced charging time by 25% (Advisor: Prof. Shishir Chauhan)
- Awarded Best Minor Project of the batch for improving EV infrastructure efficiency; resulted in a published patent
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Accelerated Promotion
Fast-tracked from SDE1 to SDE2 in 1.5 years at JP Morgan Chase for exceptional performance.
Division Trophy
Awarded for impactful contributions in AI/ML innovation within JPMC Security Services.
AI Panelist
Invited as AI speaker/panelist at a high-profile Tech Event at Microsoft by Github Students.
Winner, JPMC Internal Hackathon
Winner, JPMC Internal Hackathon: Developed a GenAI solution for SWIFT message validation.
Harvard WeCode Scholar
Recognized as one of the women in tech scholars across 100+ countries.
About Details
Professional Bio
AI Engineer at J.P. Morgan Chase with expertise in agentic workflows, GenAI, and LLM observability. Proven track record in architecting production-grade multi-agent systems and optimizing enterprise financial workflows.
Bachelor of Technology in Computer Science Engineering
Manipal University Jaipur (2020 - 2024)