Amogh Targe
Contact details — on requestProof of Work — on request
Experience
Specialist Programmer - L2
Infosys · Jul 2024 – Present
- 𝐀𝐩𝐩𝐥𝐞 𝐂𝐥𝐢𝐞𝐧𝐭
- 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐞𝐝 𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐟𝐨𝐫 𝐏𝐈𝐈/𝐏𝐇𝐈/𝐏𝐂𝐈 𝐫𝐞𝐝𝐚𝐜𝐭𝐢𝐨𝐧, 𝐥𝐞𝐝 𝐚 𝐆𝐞𝐧𝐀𝐈 𝐫𝐞𝐜𝐞𝐢𝐩𝐭 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐝𝐨𝐩𝐭𝐞𝐝 𝐚𝐜𝐫𝐨𝐬𝐬 5+ 𝐭𝐞𝐚𝐦𝐬, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐭 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐑𝐮𝐥𝐞𝐬 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 (𝐁𝐑𝐄) 𝐚𝐧𝐝 𝐥𝐞𝐠𝐚𝐥 𝐫𝐢𝐬𝐤 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭.
- • 𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: Engineered secure PII/PHI/PCI data processing using regex and ML algorithms deployed via Triton inference servers.
- Architected a decoupled entity validation framework using the Strategy design pattern, scaling to new locales and reducing false positives by over 40% (e.g., utilizing Verhoeff and Luhn checks).
- • 𝐆𝐞𝐧𝐀𝐈 𝐫𝐞𝐜𝐞𝐢𝐩𝐭 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Led production LLM adoption for an internal ticketing tool, resolving complex challenges like overlaid text and inconsistent orientation.
- Automated Apple's policy adherence reviews by utilizing LLMs to generate a custom 13-point compliance score.
- • 𝐋𝐋𝐌 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠 & 𝐓𝐮𝐧𝐢𝐧𝐠: Evaluated embedding models using RAGAS, selecting a model that yielded a 31% accuracy improvement.
- Implemented a critic feedback loop and data annotation processes to fine-tune models and enhance translation quality.
- • 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐞𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐈𝐧𝐟𝐫𝐚 on Apple’s Spark and Hive ecosystems, building Tableau dashboards for analytics.
- Managed CI/CD build images and deployment workflows, and executed database migrations to Conductor (Apple’s cloud alternative).
- • 𝐃𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐚 𝐋𝐞𝐠𝐚𝐥 𝐑𝐢𝐬𝐤 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐀𝐠𝐞𝐧𝐭 using Google ADK & FastAPI that conducts adaptive legal questionnaires, classifies risk levels, and requests supporting documentation intelligently, reducing manual review effort by 60%.
I
Specialist Programmer - L2
Infosys - Apple client · Jul 2024 – Present
- Engineering Dataguard platform for PII/PHI/PCI redaction and improving ML models with improved latency & accuracy
- Lead development of a receipt extraction & translation app with production LLM adoption across 5+ internal teams, achieving remarkable benchmark gains.
- Built Agentic systems for: BRE documentation generation from cobol repo & Legal risk assessment using Google ADK
- Dataguard: Currently engineering the Dataguard platform to securely process PII, PHI, & PCI information using regex & machine learning algorithms deployed via Triton inference servers.
- Architected a decoupled entity validation framework utilizing the Strategy design pattern, decreasing false positives by over 40% (ex.
- Verhoeff check for Aadhaar, Luhn validation for cc), successfully scaled to support multiple new locales & entities.
- GenAl system for receipt extraction addresses challenges eg. overlaid text & inconsistent orientation, & translation on Apple's internal ticketing tool using LLMs; adopted in production.
- Enhancing quality & Apple's policy adherence by automating review processes using LLMs to generate a 13-point custom compliance score.
- Benchmarked embedding models with RAGAS, using best model evaluated with 31% accuracy improvement; implemented critic feedback loop & annotation for translation quality improvement & fine-tune model.
- Engineered scalable data pipelines & Infra on Apple's Shuri-Hue (Spark+Hive) & built Tableau dashboards for insights.
- Managed CI/CD pipelines by developing build images & deployment processes; Executed database migration to Conductor (Apple's AWS alternative).
- Created Documentation Generator, Agentic Al to perform Business Rules Extraction (BRE) from source code, converting complex logic to structured pseudocode & functional docs with LlamaIndex, Gemini, backend for context-aware workflows, concurrency, & parallel execution for high-performance response handling.
- Designed a Legal Risk Assessment Agent using Google ADK & FastAPI that conducts adaptive legal questionnaires, classifies risk levels, and requests supporting documentation intelligently, reducing manual review effort by 60%.
Software Developer - AI Trainer
Outlier AI · Feb 2024 – Jul 2024
- Trained and fine-tuned Large Language Models using RLHF for complex, real-world coding and reasoning tasks.
- Improved model accuracy and instruction-following through advanced prompt engineering & agent workflows.
- Trained LLMs using RLHF, improving performance across Python, MySQL, JavaScript, APIs, and system-level reasoning tasks through structured human feedback and evaluation.
- Implemented tool-sequencing agents, where LLMs selected and invoked the correct ordered sequence of API tools from a predefined library, ensuring deterministic execution and accurate end-to-end task completion.
- Built Flamingo (NL
- SQL), an agentic system that converts natural-language queries into optimized SQL using tools and schema-aware agents, executes queries, and returns grounded natural-language responses with relevant data.
- Applied multi-turn deviation strategies, stress-testing and fine-tuning model behavior to improve consistency, instruction adherence, and robustness under ambiguous or adversarial inputs.
- Scaled SFT data pipelines, supporting 500+ annotators for high-throughput Supervised Fine-Tuning with strong quality controls and annotation guidelines.
- Performed prompt failure analysis, identifying reasoning breakdowns and improving response quality using structured analytical and prompt-optimization techniques.
O
Software Developer - AI Trainer
Outlier · Feb 2024 – Jul 2024
- Trained and fine-tuned Large Language Models using RLHF for complex, real-world coding and reasoning tasks.
- Improved model accuracy and instruction-following through advanced prompt engineering & agent workflows.
Financial Research Analyst
Wall Street Oasis · Jan 2024 – Feb 2024
Trainee - Amazon ML Summer School
Amazon · Sep 2023 – Oct 2023
A
Machine Learning Intern
Amazon ML Summer School · Sep 2023 – Oct 2023
- Key ML topics, including deep neural networks, supervised learning, probabilistic graphical models, & unsupervised learning, Reinforcement Learning, etc., through engaging modules delivered by Amazon Scientists.
Skills 0 proven through work
Also works with
Data ModerationGreenfield DevelopmentLLM Infrastructure DevelopmentAI-Powered Tool DevelopmentSmall Language Model ConceptsHuman Feedback IntegrationRLHF Workflow DesignSQL GenerationState Representation DesignReinforcement Learning Environment CreationMulti-turn Deviation Strategy DesignNVIDIA Triton Inference Server UsageLuhn ValidationVerhoeff ValidationContext MatchingPHI RedactionPII RedactionFeature ManagementRagas Framework UsageLangGraph Framework UsageLlama Index UsageState Management Approach EvaluationProactive InitiativeRoot Cause AnalysisVerbal CommunicationWork Planning and PrioritizationTaking OwnershipDecision MakingProblem SolvingIterative Problem SolvingBefore-and-After Impact MeasurementRequirements AnalysisFault-Tolerant System DesignBackend DevelopmentData EngineeringAI Agent DevelopmentSoftware Development PracticesLarge Language Model ConceptsProduction Environment SupportSaaS Platform DevelopmentModel Training ExecutionNatural Language GenerationML Training Efficiency OptimizationReward Function DesignPython DevelopmentDeep LearningConvolutional Neural Network OperationsClassification ModelingModel Fine-TuningLLM-as-a-Judge EvaluationAPI Response RankingData ExaminationAI Model TestingModel Error AnalysisTechnical Solution DesignEdge Case IdentificationCode OptimizationAlgorithm Design & OptimisationPrompt EngineeringEvaluation Framework DesignCodingApplication Performance OptimizationPerformance Metrics AnalysisAI Model ExecutionDocument ChunkingLow-Latency System OptimizationMachine Learning Model DeploymentModel Performance ImprovementInformation ResearchRegular ExpressionsReinforcement LearningTraining Data CreationClean Code PracticesObject-Oriented ProgrammingScalable System DesignMicroservices ArchitectureInput Validation ImplementationBug FixingAPI IntegrationBenchmarking ExecutionFunctional TestingData ValidationData TransformationETL Pipeline DevelopmentOCR System DevelopmentMachine Translation IntegrationDocument ParsingAI Solution Implementation
Proof of Work
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Education
Bachelor of Technology, Electronics & Communication Engineering
Indian Institute of Information Technology Allahabad · 2020 — 2024
Contact details
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