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
Software Development Engineer II | Applied AI
Aguna Solutions · Jan 2026 – Present
- 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.
Application Developer - Cloud | GenAI Engineering
IBM · Jun 2022 – Jan 2026
- 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
- • 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
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Education
B.Tech, Computer Science & Engineering
Amity University · 2018 — 2022
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