Technologies
Python, FastAPI, Finetuning, RAG (Retrieval-Augmented Generation), NLP (Hugging Face), Kubernetes, React, TypeScript, scikit-learn, Temporal Analysis, Graph Theory, SpaCy, POS Tagging, Regex, Dependency Parsing, Node.js, RxJS, AWS (Serverless, Lambda, API Gateway, Cognito, S3, CloudFront, CloudFormation, SAM), CI/CD, CEH, Red vs. Blue Team, Network Security, Penetration Testing, Reverse Engineering, IDA Pro, Ghidra, C, Express.js, Socket.IO, node-gyp, OpenCV, Flask, NumPy, Pandas, Swift, RxSwift, Java, STOMP Protocol, GStreamer, AWS Kinesis, MongoDB, Zigbee

Industries 
Artificial Intelligence (AI), Machine Learning, Cybersecurity, Software Development, Healthcare, Financial Services, IoT (Internet of Things), Medical Devices, E-commerce, Image Processing, Cloud Computing, Tech Consulting, Education and Training 

Work Experiences 

Redacted Company 
Intelligent Product Solutions – Apr 2017 – Jan 2025
Lead AI Engineer & Architect

• Designed and developed an AI-powered knowledge base indexing system that reduced onboarding time by ~40%, automating manual Q&A and improving employee productivity.

• Fine-tuned large language models (LLMs) to create domain-specific QA capabilities, enhancing the generative pipeline’s accuracy and relevance of responses.

• Engineered a dual-pipeline (extractive + generative) NLP system, boosting relevant retrieval to ~85% and improving accuracy by ~80%.

• Secured and optimized an on-prem Kubernetes deployment, eliminating reliance on cloud infrastructure while ensuring enterprise-grade security.

• Integrated real-time data indexing, enabling instant updates to knowledge base and improving employee accessibility to critical information.

Apollo – Predictive Analytics System | Lead AI Engineer & Architect

• Developed Apollo, a predictive analytics system capable of forecasting contract success with ~90% accuracy, providing valuable decision-making insights.

• Identified key decision windows, enabling early interventions that resulted in preventing 80% of stalled deals from rejection within a 2-3 week window.

• Implemented a range of machine learning models, including MLPRegressor and Random Forest, improving reliability of forecasts by ~25%.

• Built a scalable FastAPI backend that supported real-time predictive analytics, streamlining workflows and aiding real-time decision making.

• Created a detailed analytics dashboard that visualized contract probabilities, decision timelines, and trends for department leads, facilitating data-driven decisions.

Kepler – Prediction Engine | Lead AI Engineer & Architect

• Developed Kepler, an AI-driven lead-generation system using graph-based analytics and LLM-powered outreach strategy generation for high-value sales opportunities.

• Built an autonomous LinkedIn crawler that dynamically expanded lead pools by analyzing similar companies, resulting in improved lead qualification.

• Integrated machine learning algorithms to assign confidence scores (0-10) to each lead based on industry, company size, hiring trends, and contract history.

• Developed a comprehensive feedback mechanism that provided lead generation teams with actionable insights to refine outreach strategies.

• Optimized the performance of Kepler by reducing processing time for generating outreach strategies by ~30%, increasing operational efficiency.

PreReq – NLP-Powered Requirements Extraction System | Lead NLP Engineer & Architect

• Created an NLP pipeline that extracted actionable project requirements from unstructured text, streamlining requirement analysis and reducing time-to-delivery.

• Developed a dependency parsing engine using SpaCy, which automatically highlighted key actions for project teams, improving task prioritization.

• Integrated MoSCoW prioritization within the pipeline to automatically classify requirements as Must/Should/Could/Won’t, ensuring clear project scope.

• Designed traceable outputs that linked structured requirement insights directly back to original source text, ensuring auditability and transparency.

• Enhanced system flexibility by supporting multi-language project requirements, extending the tool’s use to international clients.

Blood Donor Portal | Lead Software Developer

• Architected and developed a full-stack cloud-native portal for blood donor scheduling, profile management, and tracking history.

• Led the creation of an admin portal for blood bank versioning and management, ensuring accurate data synchronization across multiple platforms.

• Implemented a multi-tenant AWS infrastructure that allowed for easy scaling and deployment of new blood banks, optimizing resource allocation.

• Mentored a newly formed development team, fostering skill development and ensuring successful feature delivery on tight deadlines.

• Established CI/CD pipelines to automate testing, deployment, and monitoring processes, reducing errors and enhancing deployment speed.

Cybersecurity & Penetration Testing | Cybersecurity Lead & Security Engineer

• Led red vs. blue team cybersecurity exercises, training IT teams to respond to simulated cyberattacks, improving defense protocols.

• Executed comprehensive penetration tests, uncovering critical vulnerabilities including full domain takeovers and potential data breaches.

• Pioneered the introduction of penetration testing as an official service offering, positioning the company as a cybersecurity leader.

• Conducted regular internal audits to improve overall security awareness and proactive defense mechanisms across the organization.

• Delivered high-level reports to senior leadership, detailing risk assessments and suggesting actionable improvements to system security.

Reverse Engineering & Software Recovery | Lead Security Engineer

• Spearheaded the restoration of business-critical applications using reverse engineering techniques in IDA Pro and Ghidra.

• Analyzed and modified application licensing logic, allowing continued use of software after the original developer became unresponsive.

• Collaborated with cross-functional teams to resolve legacy software issues, ensuring uninterrupted business operations.

• Developed custom solutions for legacy systems, enabling them to integrate with modern technology stacks and platforms.

• Delivered secure recovery procedures to ensure business continuity, mitigating risks associated with discontinued software support.

RFID Surgical Tracking System | Senior Software Developer

• Designed and developed a real-time RFID-based tracking system to ensure surgical instruments were not left inside patients post-surgery.

• Created a custom C driver for RFID scanners, integrating the data with a Node.js backend for real-time instrument tracking and verification.

• Built an interactive UI to display live RFID scan data, allowing for immediate verification of surgical instrument status during operations.

• Explored and experimented with neural network models to improve spatial positioning of RFID signals, optimizing tracking accuracy.

• Collaborated with surgical teams to refine system workflows, ensuring high reliability and usability in high-pressure environments.

Bubblegum – Machine Vision Grading System | Senior Software Engineer & Developer

• Developed a proof-of-concept machine vision system to automate the grading of baseball cards based on damage detection and alignment.

• Leveraged OpenCV to analyze images for surface wear, edge integrity, and card alignment, showcasing the feasibility of automating the grading process.

• Implemented classification systems that considered contextual variables like card type and age, addressing variability in grading standards.

• Optimized image preprocessing techniques to enhance analysis speed and accuracy, supporting real-time grading.

• Collaborated with industry experts to ensure the solution met standards for consistency and reliability in grading systems.

Smart Lighting Hub | Senior Software Developer

• Engineered a robust backend system for a Zigbee-based IoT smart lighting hub, supporting wireless control of up to 255 devices.

• Developed a secure and efficient over-the-air (OTA) firmware update service, enabling seamless remote upgrades for smart lighting devices.

• Integrated Zigbee communication protocols for real-time device state synchronization, improving latency and reliability.

• Designed RESTful APIs for device onboarding, user access control, and lighting scene configurations.

• Delivered a fully functional MVP under tight timelines for a high-stakes product demo, leading to the product's acquisition by Ring.

Stock Analysis Data Pipeline | Senior Software Developer

• Architected a scalable pipeline to detect trading anomalies, unusual volume patterns, and predictive signals across thousands of stock tickers.

• Implemented efficient batch and stream processing flows, enabling daily updates with near-zero downtime.

• Built RESTful endpoints using Flask to expose analytical insights for downstream applications and dashboards.

• Developed custom NumPy/Pandas modules for statistical analysis of historical trading data and real-time event tagging.

• Enhanced system performance through caching strategies and asynchronous job scheduling.

Smart Piano Live Streaming System | Senior Software Developer

• Refactored the live streaming pipeline using GStreamer and AWS Kinesis, eliminating the prior 90-minute stream cap for uninterrupted performances.

• Streamlined real-time audio/video/data synchronization, reducing latency and improving audience experience.

• Built mobile (iOS) and backend components for bidirectional messaging using the STOMP protocol over WebSocket.

• Introduced playback buffering and error recovery mechanisms to ensure smooth stream delivery during network interruptions.

• Conducted performance profiling and memory optimization across both iOS and Java components to improve stability.

Client Collaboration & Team Contributions

• Led cross-functional requirement-gathering sessions, translating business goals into scalable technical specs.

• Collaborated closely with clients on design iterations, delivering creative and technically sound solutions to enhance product value.

• Mentored junior developers in code quality, system architecture, and secure development practices.

• Played an active role in Agile ceremonies, facilitating sprint planning, backlog grooming, and story estimation.

• Made key product decisions by balancing user needs with engineering constraints, driving efficient and maintainable solutions.

Education

Stony Brook University
Bachelor of Science in Computer Science (2011)

• Specialized in AI, Machine Learning, and Software Engineering.

• Coursework in Applied Mathematics & Statistics, focusing on statistical modeling, numerical analysis, and optimization.

Certifications

• Certified Ethical Hacker (CEH) – Jul 2022 (98.4%)

• Stanford Machine Learning Coursera Course – Apr 2016 (96.86%)