Vetted Regression Analysis Professionals

“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”

“Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.”

“Unity-focused game developer with hands-on experience shipping performance-critical mobile, multiplayer, AI-driven, and cross-platform VR/mobile systems. Particularly strong in profiling-led optimization, resilient LLM integration, Photon networking, and adapting shared Unity architectures across Meta Quest and mobile.”

“Robotics software learner building a self-directed recycling robot project in Isaac Sim, integrating ROS2 + Nav2 + SLAM with camera/LiDAR sensing and CV-based object detection. Has prior hands-on ROS2 work creating a YOLO detection node visualized in RViz and has built/optimized simulated line-follower and maze-solver robots in Webots, documenting progress publicly on GitHub and LinkedIn.”

Manas Kumar Sherla

Screened

Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI

Charleston, IL2y exp

“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”

Felix Aldi I Simanjuntak

Screened

Intern QA / Junior Web Developer specializing in manual testing and Laravel

Jakarta Pusat, Indonesia0y exp

“Console-focused QA tester with hands-on PlayStation (PS4/PS5) functional/compliance testing experience, including TRC-driven validation, stability checks, controller input testing, and performance dip investigation in combat-heavy scenarios. Also tested a Nintendo casual puzzle-adventure title and uses AI assistants to speed up crash/log analysis and produce clearer test cases and bug reports.”