Ankit Johri

Ankit Johri

As a Software Development Engineer in Applied AI, I am driven by an ambitious pursuit of mastery, always seeking innovative solutions that align with my idealistic vision for technology's positive impact. I approach my work with unwavering integrity and accountability, ensuring compliance while fostering empathetic and thoughtful development.

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Experience

Aguna Solutions

Software Development Engineer II | Applied AI

Aguna Solutions · Jan 2026 – Present

Not yet confirmed
  • Architected IntelliDMS across 5 enterprise workflows (procurement, contracts, CAPEX, MRF, PE/PO) using async FastAPI, PostgreSQL, Docker, LDAP, and RAG-ready search; centralized document metadata and role-based routing to reduce average document lookup and approval-handoff time by 60% in pilot workflows.
  • Implemented an 8-stage unstructured-data pipeline for OCR, chunking, metadata, embeddings, vector indexing, retrieval, and re-ranking; on a 10K-document benchmark, async batching improved ingestion/indexing throughput by 2.0x with 98%+ successful document processing while preserving source lineage.
  • Embedded semantic retrieval, role-aware context, PII/output validation, and audit trails across 10+ RBAC roles; hybrid retrieval plus cross-encoder re-ranking reduced unsupported LLM responses by 35% on an internal evaluation set while keeping responses restricted to authorized source documents.
  • Built predictive-maintenance analytics and a CNN-based real-time face-recognition application for NIC India, achieving 95%+ recognition accuracy and integrating low-latency inference into a real-time application workflow.
IBM

Application Developer - Cloud | GenAI Engineering

IBM · Jun 2022 – Jan 2026

Not yet confirmed
  • Built an enterprise GenAI knowledge-retrieval system with IBM Content Analytics/ICA and watsonx, combining document preprocessing, semantic retrieval, grounded prompting, and enterprise knowledge sources to improve information-retrieval productivity by 94%.
  • Designed a secure AI integration layer across 3 enterprise systems – DB2, IBM Maximo, and watsonx – using middleware APIs and Cloudflare Tunnel, collapsing 5-7 manual cross-system lookup steps into a single API-mediated AI workflow without exposing backend systems directly.
  • Built and deployed containerized AI/application services on IBM Cloud VPC with Kubernetes, Cloud Functions, Cloudant, and REST APIs; reusable deployment and async integration patterns shortened environment release cycles by 50% across cloud/on-prem workflows.
  • Partnered with security and business teams to prototype GenAI automation use cases and introduced practical AI tooling through internal sessions, translating business requirements into secure, testable enterprise AI PoCs.
A

Software Developer

Apex biomedicals · Apr 2020 – Jul 2020

Not yet confirmed
  • • Implemented a set of new API endpoints through Express, related to the covid-19 internal web application provided a critical connectivity channel and increased system cohesion.
  • • Used React Native & Redux to build an efficient and straightforward login UI.

Skills 0 proven through work

Also works with

IBM Maximo UsageWatsonX UsageIterative DesignStructured Work ApproachProposing Alternatives in DisagreementDelegation and Work AllocationTeam CommunicationHypothesis-Driven ExperimentationTaking OwnershipOpen-mindednessIterative Problem SolvingRisk and Controls AssessmentGoal setting (defining key results)AdaptabilityWork Planning and PrioritizationData-Driven RecommendationsCost-Saving Initiative ManagementProblem SolvingAI Solution ImplementationApplication DeploymentSoftware Architecture PrinciplesEnd-to-End Data Science Lifecycle ManagementAudit Log ImplementationStructured LoggingRow-Level Security ImplementationService Layer Architecture DesignWorkflow Automation (Spreadsheet-Based)AI Workflow AutomationConfidence Scoring and Uncertainty BucketingMetadata QueryingChunk Size OptimizationProcess ImprovementProof of Concept DevelopmentHyperparameter TuningAI Hallucination DetectionPerformance Metrics AnalysisRetrieval Quality EvaluationRagas Framework UsageAI Model TestingAPI IntegrationChatbot DevelopmentNatural Language GenerationRetrieval-Augmented GenerationLLM Application IntegrationVector Database UsageDocument ChunkingTabular Data Cleaning & ValidationData CollectionPrompt EngineeringSemantic SearchText PreprocessingKnowledge Base Design & ManagementModel Performance ImprovementAI Model OptimizationCosine SimilarityEmbedding GenerationReal-Time Data IntegrationML Training Efficiency OptimizationThreshold-Based AnalysisCCTV Footage AnalysisComputer Vision ModelingSemantic Similarity EvaluationFeature ExtractionAnomaly DetectionFailure Prediction ModelingSensor Data ProcessingConvolutional Neural Network OperationsFacial Recognition ImplementationPredictive MaintenanceAPI Authentication ImplementationClient-Server ArchitectureTLS Connection ManagementHTTP Protocol KnowledgeSecure Data HandlingRBAC Module DevelopmentMaintainability DesignApplication Performance OptimizationSecurity ArchitectureEnterprise Integration DesignTechnology Stack SelectionData Flow DesignScalable System DesignRequirements AnalysisTechnical Solution DesignGenerative AI ApplicationMachine Learning Application

Proof of Work

Proof of Work

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Education

B.Tech, Computer Science & Engineering

Amity University · 2018 — 2022

Contact details

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