Applied AI Engineer

Shivam Bhatt

Building production-grade AI systems that solve complex enterprise challenges. Multi-agent workflows, RAG pipelines, and ML infrastructure at scale.

4
FTE Save
$10M+
Operational Savings
61%
Fraud Recall Improvement
92%
AI Task Accuracy
Shivam Bhatt

Featured Projects

Production-grade AI systems built for enterprise environments

Research & Engineering

Multi-Agent Financial Intelligence System

LangGraphMulti-Agent SystemsAI OrchestrationRedisFastAPIEvaluation Framework
Purpose:

"Explore autonomous financial reasoning workflows using multi-agent orchestration, grounded retrieval, and enterprise-grade evaluation systems."

Focus:

Multi-agent AI systems, reasoning orchestration, grounded generation, and production-scale AI infrastructure.

65%Reduction In Research Effort
AccuracyImproved From 70% To 92%
Sub-3sResponse Latency
Research & Engineering

Financial RAG & Knowledge Retrieval Platform

RAGFAISSBM25Hybrid RetrievalKnowledge SystemsPrompt Engineering
Purpose:

"Research scalable retrieval architectures and evaluation strategies for high-precision financial knowledge systems."

Focus:

Retrieval-Augmented Generation, hybrid search systems, grounding evaluation, and low-latency inference optimization.

Precision@5Improved From 60% To 85%
Sub-2sResponse Latency
HybridRetrieval Architecture
Name Screening - Financial Crime

Enterprise Post-Detection Name Screening Intelligence Platform

PythonScikit-LearnXGBoostMachine LearningEthical AIModel Explainability
Purpose:

"Automating high-risk financial screening governance."

Focus:

Tree-based models, SHAP explainability, and regulatory governance.

RecallImproved From 55% To 61%
0–1%Risk Threshold Maintained
Enterprise-GradeAI Explainability
Market Surveillance & Risk Intelligence

Surveillance Risk Identification System

Machine LearningGraph AnalyticsRisk DetectionBehavioral IntelligenceMetrics-Driven Optimization
Purpose:

"Behavioral risk detection and entity network analysis."

Focus:

Graph analytics, real-time scoring, behavior modeling.

~4FTE capacity saved
Real-timescoring pipeline
Graph-basedrelationship mapping

Career Roadmap

7+ years of progressive journey in AI/ML and data science across leading enterprises

HSBC India Limited
India
Sep 2025 - Present

Manager - Future Analytics and DE

  • Played a key role in the development and production deployment of ML-based post-detection system, increasing Recall by 61% at constant FPR
  • Maintaining risk appetite (0-1%) across different market segments and improving Straight-Through Processing (STP) by 80%
  • Implemented ongoing model monitoring for PSI/CSI, AUC drift, and calibration, reducing time-to-detect model degradation from 30 to 15 days
  • Collaborated on champion–challenger testing and threshold calibration to improve model effectiveness and operational reliability while maintaining PSI < 0.1 and override rates below 5%
  • Enhanced retrieval performance using semantic search and re-ranking pipelines, achieving ~48% improvement in information retrieval efficiency.
HSBC India Limited
India
Feb 2022 - Sep 2025

Analyst - Research and Development team, Risk & Compliance

  • Owned development of Python-based automation platforms, cutting reporting and analysis turnaround time by ~98%
  • Applied fuzzy matching (Levenshtein distance), string or phonetic similarity algorithms for improved matching accuracy
  • Engineered feature pipelines for text normalization, tokenization, and similarity scoring across multilingual datasets
  • Developed scalable screening architecture aligned with regulatory risk thresholds, enabling deployment across multiple regions
  • Delivered ~$10M cost savings for a single market (UAE) by automating investigation workflows
  • Contributed to the development of ML-based risk detection systems, reducing manual investigation effort and delivering operational efficiency equivalent to ~4 FTE capacity.
Sopra Steria India Pvt Limited
India
Aug 2021 - Feb 2022

Software Engineer - Decision Science

  • Delivered interactive AI-powered dashboards (Dash), enabling real-time monitoring and improving stakeholder decision-making speed
  • Handled high-volume transaction data at scale, delivering actionable insights that influenced strategic business decisions
  • Collaborated with cross-functional teams to translate business problems into scalable AI solutions
  • Processed high-volume financial datasets at scale using Hive and Pyspark
Ineuron.AI
India
Jan 2021 - July 2021

Associate - Data Science

  • Built and optimized data preprocessing pipelines, improving model performance and reducing training time by 5%
  • Identified and curated high-quality data-sets, improving model accuracy and robustness
  • Designed feature engineering strategies that enhanced performance of classification and clustering models by 12%
Wipro Limited
India
July 2019 - December 2020

Senior Associate - Quality Control and Assurance

  • Built data reporting infrastructure, enabling real-time KPI tracking and improving decision-making efficiency
  • Improved reporting accuracy by validating and reconciling data across multiple sources, reducing errors by 11%
  • Developed QA frameworks that enhanced product reliability and reduced system defects
Sage Energy Hyderabad
India
February 2019 - June 2019

MIS Executive Techno-Commercial

  • Developed business reporting and analytics systems for vendor and category management
  • Delivered market intelligence insights supporting forecasting and strategic planning, increasing sales by 11% monthly

Connect With Me

Always open to discussing high-impact AI research, engineering opportunities, or technical collaborations.

SYSTEM STATUS: ACTIVEEnterprise AI Infrastructure Operational ✓