TUSHAR KANTI PATRA
Open to work2 years experienceData Engineer
Data Engineer specializing in AI/ML, MLOps, and scalable data pipeline architecture.
Standing Rank
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Skills & Technologies
45 skillsGitHub Activity Evidence
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Work Experience
Data Engineer
Motorola Solutions
- Audit Data Pipeline: Designed multi-source Logstash configs processing 500K+ audit logs, call logs & CRD events/day for real-time compliance monitoring.
- Observability Stack: Engineered Metricbeat + Filebeat on ELK, cutting mean-time-to-detect by 40% across 500K+ daily log events.
- OpenTelemetry: Implemented distributed tracing across microservices with AI-assisted automation; reduced pipeline failure resolution by 60%.
- Report Automation: Replaced manual Kibana exports with scheduled snapshots & API delivery, saving 15+ hrs/week of analyst effort.
- Zero-Downtime Upgrades: Orchestrated scripted upgrades (pre-checks, rollback, health validation) across 20+ IDAP services with zero downtime.
- Agentic AI / MCP Server: Established Jira-integrated MCP server auto-retrieving similar tickets & solutions — reducing ticket resolution time by 50%.
- Security Automation: AI-powered SentinelOne & Active Eye workflows cut SOC manual interventions by 35%.
- Enterprise SSO: Architected Keycloak OAuth2/OIDC across Grafana, Kibana & Rundeck, securing 200+ users, eliminating shared credentials.
- Containerization: Dockerized microservices with automated health checks achieving 99.5% uptime and 25% infra cost reduction.
AI Engineer
Growleads.io
- Predicta — AI Analytics Platform: Built 20+ interactive visualizations integrating Groq API + Llama 3.3 for natural language querying across 1,000+ sessions; Data Doctor module improved data quality by 45%.
- Google Ads Intelligence & Risk Platform: Ingested live campaign data via Google Ads API into Python pipelines; leveraged Ollama (local LLM) for natural language revenue analysis; built Grafana dashboards with AI-driven budget overspend alerts, reducing wasted ad spend by 30%.
- LinkedIn AI Analyzer using Google A2A Agents: Explored and implemented Google’s Agent-to-Agent (A2A) framework to develop a multi-agent system for LinkedIn profile analysis, company intelligence, and lead qualification; automated profile enrichment and generated actionable hiring and business insights.
Projects
AI DataOps Agent — Autonomous Pipeline Monitoring & Healing
- Detects pipeline failures via Elasticsearch logs + Prometheus metrics; RAG retrieves similar past incidents for LLM root-cause analysis and autonomous decision-making.
- Exposed 24 MCP tools with exponential backoff (3 attempts), SSE transport; LangGraph orchestrates reasoning loop; FastAPI provides REST interface.
- Autonomous end-to-end healing: restarts stuck tasks, scales services, or escalates via Slack/PagerDuty. Redpanda for event streaming, Snowflake for audit trail; 12 services containerized with CI/CD rollback.
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
Hugging Face Model Publication
Published tryn-mini7m — custom 7M parameter text-to-vector embedding model on Hugging Face with 1,000+ global downloads.
Production AI Deployment
Shipped Agentic AI MCP server in production at Motorola Solutions.
High-Volume Data Processing
Processed 500K+ daily events across audit, log, and CRD pipelines with zero SLA breaches.
About Details
Professional Bio
Data Engineer with expertise in AI/ML, MLOps, and data pipeline automation. Proven track record in building scalable observability stacks, agentic AI workflows, and optimizing data infrastructure for enterprise environments.
Master of Computer Application
Vellore Institute of Technology (2023 - 2025)
Bachelor of Computer Application
Brainware University (2020 - 2023)