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Vetted Dashboard Development Professionals
Pre-screened and vetted.
Vaishnavi Dangety
Senior Talent Acquisition Operations leader specializing in scalable global recruiting programs
“Recruiting Operations leader who has managed 6–12 person teams and owned the full recruiting ops lifecycle, including ATS governance, reporting, capacity planning, and vendor coordination. Notably redesigned interview scheduling/feedback workflows to cut time-to-fill 25–30% for priority technical roles, reduce candidate drop-off ~20%, and boost recruiter load capacity 15–20% without sacrificing quality; also led an end-to-end CPAL ATS implementation reducing manual scheduling effort by ~40%.”
Monique Youmans
Senior Talent Operations leader specializing in recruiting workflows and people systems
“Recruiting/Talent Operations leader who managed 6–12 person teams across two office locations and drove measurable process improvements. Standardized onboarding (cut ramp time by 2–3 weeks) and redesigned interview scheduling to move candidates forward within 24–48 hours, while leveraging Workday/Lever reporting and leading a GoodTime rollout with HR/IT/HRIS.”
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Vigneshwari Shankiri
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”
Sandhya Yadavalli
Mid-level Cybersecurity Analyst specializing in SIEM, incident response, and Zero Trust
“Cybersecurity/SOC-focused engineer with hands-on production experience integrating and tuning Splunk Enterprise Security for a zero-trust program, including CIM normalization, correlation/risk-based detection tuning, and performance optimization via forwarder-level filtering and index strategy. Has cross-disciplinary incident troubleshooting experience spanning SIEM, networking, and hardware, and has automated customer/team-specific security workflows using Python in Splunk playbooks; collaborated on-site with HSBC IT/SOC teams to deliver dashboards and security policies.”
Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Johanna Bernal
Mid-level Merchandising & Inventory Planning professional specializing in lighting and home retail
“Merchandising/sourcing professional from World Market with deep experience building and optimizing home/fashion partnerships end-to-end—using tariff-driven margin pressure to shift sourcing outside China while maintaining design elevation. Highly metrics-driven across OTB, SKU productivity, margin/IMU, full-price sell-through, attachment rate, and digital conversion, and comfortable managing 50+ vendor negotiations simultaneously.”
Jayeetra Bhattacharjee
Mid-level AI/ML Engineer specializing in LLMs, NLP, and analytics automation
“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”
Rob Wlaschin
Director-level Engineering Manager specializing in AI platforms, FinTech, and Healthtech
“Serial entrepreneur building three distinct products: a context-aware AI chatbot, a connected TV companion-screen platform with an implementation client, and gamerogue.net, a mobile-optimized web-based virtual tabletop marketplace currently seeking funding. Brings hands-on fundraising experience, familiarity with the VC/accelerator ecosystem including YC, and a notably pragmatic approach to validating ideas based on existing market demand rather than speculative adoption.”
TejaSree Chiluveru
Mid-level Software Engineer specializing in FinTech and cloud-native microservices
“Built and launched an internal AI troubleshooting assistant focused on safe, retrieval-first root cause analysis for enterprise systems, with strong attention to monitoring, fallback behavior, and post-launch iteration. Also owns full-stack product work across React and Java/Spring Boot, including high-volume financial operations workflows, and reports measurable LLM improvements such as ~30-40% latency reduction.”
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”
Syed Muhammad Aun Jafri
Mid-level GTM Strategy & RevOps professional specializing in sales operations
“Startup operator with experience spanning Series D scale-up GTM strategy at Motive and earlier-stage marketplace operations at Fleek and BridgeLinx. Stands out for building operating infrastructure, redesigning sales compensation, and automating leadership reporting with measurable impact, including 12% sales efficiency gains, 40% less reporting overhead, and 9% better rep performance.”
Manasa Pantra
Junior Software Engineer specializing in AI, LLM systems, and full-stack development
“Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.”
Abnik Ahilasamy
Intern LLM/GenAI Engineer specializing in RAG, agentic systems, and low-latency inference
“Interned at Larsen & Toubro where they built and deployed an agentic RAG document question-answering system to reduce time spent searching documents and improve trustworthiness. Implemented ReAct-style multi-step orchestration with LangChain/LlamaIndex plus evidence-bounded generation, grounding/citations, and rigorous evaluation—cutting latency ~40%, hallucinations ~35%, and unsafe outputs ~40% while collaborating closely with non-technical business/ops stakeholders.”
Jose Moreno
Senior Growth Marketer specializing in paid acquisition and performance creative testing
“Growth creative lead with hands-on experience running end-to-end paid creative tests for major music/entertainment campaigns at UMG, including a vinyl sale push that cut CPA by 20%+ in a tight promo window. Known for a modular ad-building approach (hooks/value prop/proof/CTA) and platform-native optimization across Meta, TikTok, and YouTube, plus strong label/creative-team alignment and QA discipline (including tracking).”
Paulina Paleothodoros
Director-level HR Leader specializing in benefits, compliance, and HRIS/ATS implementations
“Fractional HR/People Ops leader specializing in early-stage startups scaling rapidly without existing infrastructure. Has implemented ADP HRIS, standardized onboarding/recruiting/benefits/performance systems, and built multi-state compliance foundations—driving measurable outcomes like ~40% faster onboarding, time-to-hire reductions (56 to 34 days), and +12% retention while enabling founders to run processes independently.”
AnilKumar Kanakadandila
Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps
“Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.”
Aarush Monga
Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics
“Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.”
Sagar Patel
Mid-level Full-Stack Python Developer & Data Engineer specializing in ETL and web platforms
“Backend engineer who led major modernization efforts at GoDaddy, migrating legacy Perl services to Python/FastAPI with an incremental rollout strategy, containerization (Docker/Kubernetes), and CI/CD (Jenkins/GitHub Actions). Strong focus on secure, reliable API design (JWT, RBAC, PostgreSQL row-level security), rigorous testing, and data integrity—plus experience hardening an automated web-scraping pipeline against changing site structures and downtime.”
Diana Ramirez
Director of Customer Success specializing in enterprise SaaS implementations and AI platforms
“Enterprise CSM/program lead specializing in AI-powered search and workflow automation, who owned an end-to-end generative AI chatbot rollout that replaced manual Excel-based RFP processes and achieved 4.5/5 CSAT. Leveraged outcomes to expand the account into two additional use cases (tripling ARR) and has a track record of influencing product priorities (UI personalization) and driving Voice AI expansions tied to operational support workflows.”
Ishwari Kulkarni
Intern IT & Data Analytics professional specializing in automation, cloud operations, and dashboards
“AppSec-focused engineer with experience spanning Accenture and a digital operations support internship, emphasizing secure SDLC and CI/CD security automation (SAST/DAST/SCA). Has hands-on troubleshooting experience using logs/metrics/APM traces (e.g., resolving DAST timeouts caused by rate limiting) and designs AWS/Kubernetes scanning integrations with least-privilege IAM, private networking, secrets management, and observability.”
Kavyashree Sudhakar
Junior Business Analyst specializing in operations and banking workflows
“Entry-level data/business analytics candidate with hands-on experience building SQL and Python workflows to clean fragmented subcontractor data, generate risk scores, and feed Power BI dashboards. Also demonstrated strong operational analytics impact at Amazon by defining and operationalizing process-quality metrics that reduced CPO rate from roughly 10% to 0.6%.”