My Expertise

Work Experience

New Jersey Institute of Technology | AI Engineer

March 2025 – Present

AI Engineer

NJIT • 2025-Present

Vandoo LLC | Programmer Analyst

November 2024 – February 2025

Programmer Analyst

Vandoo LLC • 2024-2025

JerseySTEM | Data Scientist

February 2024 – November 2024

Data Scientist

JerseySTEM • 2024

Bayer | Data Engineer

September 2023 – December 2023

Data Engineer

Bayer • 2023

Dassault Systems | R&D Software Engineer

April 2020 – July 2022

R&D Software Engineer

Dassault Systems • 2020-2022

National Aerospace Laboratories | Project Assistant

December 2019 – March 2020

Project Assistant

NAL • 2019-2020

Cognizant Technology Solutions | Programmer Analyst

December 2018 – October 2019

Programmer Analyst

Cognizant • 2018-2019

AI Engineer

New Jersey Institute of Technology March 2025 – Present

[RAG, Python, OpenRouter] Engineered a retrieval-augmented generation pipeline using custom chunking and embeddings, delivering 31% faster document search and 18% higher QA accuracy over vanilla LLM baselines on neuroscience datasets.
[Neurosynth, stDNN, LangChain] Developed "brain-cog-rag" by integrating Neurosynth's neuroimaging data with structured DNN retrievers, boosting relevant fact retrieval by 23% in cognitive science use-cases.
[PyTorch, fMRI, Transformers] Designed fMRI tokenization pipeline converting 90k+ voxel time-series to transformer-friendly embeddings, enabling sequence-based cognitive state detection.
[Attention, Explainability, NLP] Built attention mechanisms to spotlight clinically significant brain regions, raising interpretability scores by 28% in expert reviews.

Technologies Used

Python, PyTorch, Transformers (HuggingFace), fMRI/Neuroimaging (HCP), Tokenizers, Knowledge Distillation, GPT-3.5, Llama 4 Scout 17B, Llama 3.2 3B, Attention Mechanisms, Clinical NLP, GPTQ, AWQ, Model Quantization, Edge Deployment, Machine Learning, Deep Learning, Model Interpretability

Programmer Analyst

Vandoo LLC dba Vaandu November 2024 – February 2025

[Oracle, PL/SQL, Unix] Revamped Oracle-driven data pipelines using advanced PL/SQL and Unix scripting, boosting query speed by 20% and streamlining batch financial processes.
[Prometheus, Monitoring, Exporters] Deployed custom Prometheus exporters for Oracle, capturing KPIs like query latency and tablespace usage to drive real-time performance monitoring.
[Python, Code Quality, Automation] Refactored core Python modules for ETL workflows, slashing code review time by 15% and raising deployment stability.
[Grafana, Dashboards, Alerting] Built Grafana dashboards and set proactive alerts, reducing system outages by 45% through real-time visualization of pipeline health.
[AWS Lambda, CloudWatch, S3, RDS] Engineered end-to-end observability for Lambda data flows using CloudWatch + Grafana, accelerating root-cause analysis of bottlenecks.

Technologies Used

Python, Oracle, PL/SQL, AWS (S3, Lambda, CloudWatch, RDS), Grafana, Prometheus, Unix, Data Security

Data Scientist

JerseySTEM February 2024 – November 2024

[SQL Workbench, Python, Pandas, NumPy] Automated data cleaning and analysis of 1M+ records using advanced SQL queries and pandas workflows, accelerating insights and slashing manual processing.
[Airflow, AWS EC2, Automation] Designed, deployed, and maintained Airflow pipelines on AWS EC2, automating reports and reducing manual effort by 40% while boosting operational efficiency by 25%.
[Looker Studio, Dashboards, Data Viz] Developed executive dashboards in Looker Studio, visualizing program impact and student engagement to drive better leadership decisions.
[Jira, Agile, Collaboration] Drove agile project management using Jira for sprint planning and cross-team sync, keeping all deliverables on track and transparent.
[Scrum, Kanban, Process Optimization] Applied Scrum and Kanban to balance workload and break system bottlenecks, improving throughput and adaptability across teams.

Technologies Used

Python, SQL, Pandas, NumPy, AWS EC2, Airflow, Looker Studio, Jira, Agile, Scrum, Kanban, HR Analytics

Data Engineer

Bayer September 2023 – December 2023

[Databricks, Spark, Python, Snowflake] Built end-to-end Databricks pipelines to process Snowflake healthcare data, producing 3 marketing personas and guaranteeing high data reliability.
[PowerBI, DAX, Data Visualization] Developed PowerBI dashboards with advanced DAX, visualizing 121+ behavior metrics and driving a 22% ROI boost through campaign insights.
[Azure Data Factory, ETL, Python] Optimized real-time ETL for point-of-sale data with ADF and Python, using KPIs to enhance advertising strategy and lift campaign performance by 18%.
[Cross-Functional Collaboration] Partnered with marketing and sales teams to turn business needs into technical specs, ensuring solutions hit every organizational goal.
[Automation, Data Quality, Compliance] Automated data quality checks across pipelines, ensuring end-to-end integrity and compliance with privacy standards.

Technologies Used

Python, Databricks, Spark, Snowflake, PowerBI, Azure Data Factory, ETL, SQL, Machine Learning, Data Quality, Compliance

R&D Software Engineer

Dassault Systems April 2020 – July 2022

[C/C++, Memory Profiling, CATIA] Fixed 10+ critical memory bugs in CATIA apps using C/C++ and profilers, cutting crash rates by 20% and boosting stability for enterprise users.
[Linux Migration, Debugging, Integration] Led CATIA migration to Linux by resolving 20+ platform errors, slashing migration downtime by 40% and ensuring seamless rollout.
[Python, Test Automation, CADAM] Automated CADAM testing with a Python framework, shrinking execution time by 87% and increasing code coverage by 35%.
[Python, Pandas, Matplotlib, Analytics] Automated team analytics—processing JSON data into reports, saving 3+ hours/week and driving data-backed decisions.
[Apache, Dashboards, Self-Service Reporting] Built Apache-hosted reporting dashboards for contributor achievements, now used by 8+ departments for leadership reviews.
[Statistical Analysis, Product Strategy] Applied statistical analysis to software usage data, surfacing trends that shaped product development priorities.

Technologies Used

C/C++, Python, Pandas, Matplotlib, JSON, Linux, CATIA, Apache, Statistical Analysis, Data Visualization

Project Assistant

National Aerospace Laboratories December 2019 – March 2020

[CFD, Python, Data Analysis] Boosted VTOL UAV design efficiency by 17% via manual CFD and Python stats, optimizing wing configs from 1,500+ wind tunnel data points.
[Tableau, Python, Visualization] Accelerated propulsion modeling 13% by building interactive Tableau dashboards with matplotlib/seaborn for real-time efficiency analysis.
[CATIA V5, 3D Scanning, Compliance] Improved propeller performance by 8.5%—optimized 12 blueprints using CATIA V5 and 3D scan data, meeting MIL-STD structural standards.
[Python, Automation, Reporting] Automated stress-strain reporting by replacing Excel with Python scripts, cutting report time from 6 hours to 45 minutes at 99.8% accuracy.
[Machine Learning, Design Prediction] Applied ML to predict design-driven performance, making iterative UAV development faster and more data-driven.

Technologies Used

Python, NumPy, Pandas, Matplotlib, Seaborn, Tableau, CATIA V5, CFD

Programmer Analyst

Cognizant Technology Solutions December 2018 – October 2019

[C#, SQL Server, Automation] Modernized legacy banking by building a C# transaction engine with SQL Server, automating exception handling to cut manual reconciliation by 75% and speed up ₹1.2M+ daily settlements by 25%.
[C#, OOP, Multithreading] Refactored C# financial apps with OOP and multithreading, dropping batch processing time from 6 hours to 4.5 hours for 50K+ records while keeping 99.9% data integrity.
[SQL, Optimization, Reporting] Resolved database bottlenecks—redesigned 15+ stored procedures and indexes, slicing query latency by 35% for client-facing, high-traffic reports.
[Python, Data Analysis, Fraud Detection] Developed scripts to spot transaction patterns, surfacing insights that improved fraud detection across banking products.
[Automated Reporting, Business Intelligence] Built automated reporting pipelines that converted raw financial data into actionable intelligence for faster, smarter business decisions.

Technologies Used

C#, .NET, SQL Server, OOP, Multithreading, Data Analysis, Business Intelligence