Curriculum Vitae
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Mano Bharathi M
Software Engineer | Backend, Distributed Systems & AI
Professional Summary
Software engineer with 2+ years of experience, including internship, building backend services, distributed systems, observability, and AI-agent workflows at OpenText. Increased cloud-connectivity capacity 3x, reduced agent escalations from 20 to 5, and built automation that reduced manual effort by ~60%. Strong in Python, Java, FastAPI, PostgreSQL, Kubernetes, RAG, and MCP.
Work Experience
Associate Software Developer
Oct 2024 – Present- Built a case-aware dual-memory agent combining enterprise RAG with reusable case memory; staged evaluation reduced escalations by 75% (20 to 5), latency by 43% (1,324 to 750 ms), tokens per ticket by 33% (502 to 336), and LLM calls per ticket by 40% (1.0 to 0.6).
- Redesigned UUID storage in a distributed cloud-connectivity service, increasing supported inter-region connections from 55 to 165 (3x) without a database schema migration.
- Built a time-series baseline service with dynamic upper and lower bounds and adaptive routing between raw 5-minute data and hourly aggregates for scalable observability queries.
- Prototyped an end-to-end CVE automation workflow covering advisory ingestion, normalization, inventory matching, and remediation through network automation, reducing manual triage effort by ~60%.
Software Engineering Intern
Apr 2024 – Sept 2024- Built Python and SQL automation for license-usage extraction and CSV reporting, replacing repetitive manual reporting workflows.
Selected Projects
Built browser automation that uses an LLM to discover workflows once and saves successful workflows for deterministic, model-free replay. Added action validation, page-evidence checks, expected-error handling, and human takeover for unsupported states.
Built a change-data-capture pipeline using PostgreSQL, Debezium, Kafka, Redis, and Elasticsearch for distributed data propagation, caching, and indexed search.
Built an IT/HR support prototype combining speech recognition, WebSocket-based voice interactions, VLM/OCR screen understanding, enterprise RAG, and LangGraph orchestration, with human approval and structured verification before closure.
Technical Skills
Education and Research
B.E. Electronics and Communication Engineering
2024Sri Krishna College of Engineering and Technology · CGPA 8.5/10
Co-author, AAAI 2026 Student Abstract
Proof of concept retained about 90.7% accuracy while reducing energy use by about 65% versus a 6-layer baseline.
Awards and Recognition
Put Customers First · OpenText
12 February 2026
Recognized for developing a CVE data-extraction agent for a Policy AI assistant prototype and contributing to customer demonstrations.
Raise the Bar · OpenText
25 July 2025
Recognized for delivering sleeve visualization for raw datasets on time in the first sprint of PI44.
Raise the Bar · OpenText
14 February 2025
Recognized for dark mode support, license-consumption reporting, and quickly becoming productive on Azure backend work.
Raise the Bar · OpenText
24 January 2025
Recognized for implementing AWS and Azure network-test visualization on the geographical map and demonstrating working code for early feedback.