Raghunath Manyam

Lead Engineer

Cognizant — Financial Services Client

Own the technical direction for an Enterprise Reinsurance modernization program — an ongoing multi-year migration of a 25+ year-old mainframe system carrying billions in treaty exposure to AWS, without a write freeze for the actuarial and finance teams that depend on it daily. Lead 18 engineers across data, application, and reporting tracks. Designed the metadata-driven migration pattern, built the event-driven reporting layer feeding ~50 treaty and finance consumers, and shipped the Cash Clearance app end-to-end on serverless TypeScript + Aurora Postgres. Cut Cash Clearance search latency from 3–5 minutes to under 5 seconds on 100K+ row queries.

• Collapsed the 23-table mainframe → Aurora migration into 3 metadata-driven Glue jobs (vs. the ~69 the obvious design called for) — fewer surfaces to test, version, and operate
• Architected the Cash Clearance latency win with DynamoDB caching layered over partitioned Aurora reads; the 3–5 min → <5s improvement on 100K+ rows held under concurrent load
• Set the technical bar for 18 engineers across data, app, and reporting tracks — reviewed every architecture decision and unblocked the team on AWS, Aurora, and IAM patterns the org hadn't yet standardized

Project Manager — Operations

Cognizant — Financial Services Client

Owned the L1–L3 application operations across a 150-system portfolio under an ITIL delivery model, with 14 direct reports and ~50 indirect reports. Stood up rigorous log monitoring, proactive alerting, and operational dashboards so the team caught issues before users did. Drove a continuous-improvement loop — identifying repeat incidents, root-causing them, and shipping permanent fixes rather than re-running the same triage. Improved portfolio stability by 60% over three years.

• Stood up the team's first proactive monitoring + alerting layer; every operations shift ran off the same dashboards instead of reactive ticket triage
• Shifted the ops focus from triage volume to root-cause elimination — the practice change that compounded into the 60% stability gain
• Led 14 direct and ~50 indirect reports across an ITIL-aligned operations org spanning 150 production applications

Sr Software Engineer

Cognizant — Financial Services Client

Owned the business-logic analysis track on a major rating-engine re-platform for a US personal-lines carrier — paired daily with actuarial SMEs to translate 100+ hardcoded PL/I + IMS-DB rules into Ratabase algorithms, replacing engineering round-trips with a system the business could maintain themselves. Ran re-rate cycles across full state policy books when original or renewal rating errors surfaced; individual corrections returned up to several hundred thousand dollars in customer refunds. Designed and implemented predictive-analytics datasets (Informatica + PowerExchange) with the Principal architect, feeding actuarial pricing and underwriting decisioning.

• Translated 100+ rating algorithms from PL/I procedural code + IMS-DB lookups into Ratabase rule semantics — every translation validated against business SMEs
• Operated re-rate runs across state-level policy books when rating errors surfaced; individual cycles returned several-hundred-thousand-dollar refunds to customers
• Pair-designed the Informatica + PowerExchange dataflows with the Principal architect — the pipeline became the data backbone for actuarial pricing and underwriting decisioning

Software Engineer

Cognizant — Financial Services Client

Entry into regulated-industry tech — production support and feature work on P&C insurance applications at Cognizant. Performed DB2 SQL performance tuning on claims workloads, requirements analysis with business analysts, and quality audits across the application portfolio. The foundation in mainframe-adjacent data layers, regulated-industry release discipline, and customer-money systems that every later role built on.

B.E. in Electronics & Communication Engineering

Sri Krishnadevaraya University