Dec 2024 – Present · 1 yr 3 mos · Hyderabad, Telangana, India · Remote

• Building Zingaro AI, a platform that lets businesses answer every call and message in the customer’s own language—across Phone, WhatsApp, and Web—with human-like voice agents.
• Launched the product to paying customers; established repeatable pilots → subscription motion for SMB & mid-market.
• Defined product vision and roadmap around 30+ languages, “perfect memory,” analytics, and enterprise readiness.
• Opened key verticals (financial services/gold loans, aviation safety, retail surveys) with referenceable case studies.
• Built the go-to-market engine: ICPs, pricing, outreach playbooks, and partner channels; steady MRR growth.
• Set up customer success and onboarding to deliver value fast and keep retention high.
• Drove partnerships and integrations (WhatsApp/Meta, CRM and payments) to meet real business workflows.
• Established security/compliance posture suitable for enterprise procurement.
• Led brand and narrative: positioning, website, one-pagers, pitch materials, and LinkedIn presence.
• Hired and coached a lean founding team; installed OKRs, weekly reviews, and a data-driven operating cadence.
• Represent the company with customers, partners, and investors; own revenue, product quality, and culture.

Mar 2024 – Oct 2024 · 7 mos · Remote

• Served as the technical backbone for Studio demos and content—owning speech/ASR experiments that powered on-camera showcases and partner pilots.
• Trained and fine-tuned multilingual ASR models for Indian languages (Hindi, Telugu, Tamil, Odia, Bengali) and English; built evaluation harnesses (WER/CER, accent & noise stress tests).
• Curated/cleaned speech datasets (call-quality, code-mixed, romanized text); implemented text normalization and QA workflows to lift label quality.
• Prototyped streaming/telephony scenarios (VAD, chunking, diarization assumptions) to make demos robust to real phone audio.
• Packaged models and simple APIs/notebooks so the Studio team could produce reliable, reproducible demos on deadline.
• Benchmarked open-source and commercial baselines; tracked results in a standardized dashboard for topic selection and demo readiness.
• Impact: Enabled repeatable, multilingual speech demos that increased audience trust and accelerated partner conversations.

Aug 2023 – Feb 2024 · 6 mos · Hyderabad, Telangana, India · Hybrid

• Led applied ML projects in LLM training and speech for Indic languages.
• Orchestrated large-scale LLaMA training runs (7B/13B/70B); built instruction-tuning sets and evaluation loops.
• Ran multi-node training on A100s with distributed strategies; reduced training time with attention/throughput optimizations.
• Built a large corpus by converting ~1M PDFs with a vision-based parser; standardized preprocessing for downstream training.
• Fine-tuned Whisper for Indic ASR (Tamil/Telugu/Kannada + others); created speech-text datasets and robust WER/CER harnesses; shipped lightweight CPU/mobile builds.
• Set up a pragmatic RAG pipeline for “chat-with-data” prototypes used in stakeholder demos.
• Streaming ASR for telephony (8 kHz): VAD, endpointing/chunking, barge-in handling, and latency budgeting; stress-tested accents/noise.
• TTS (Text-to-Speech): Trained multi-speaker, multilingual TTS with controllable rate/pitch; curated prompt/phoneme lexicons and G2P rules for code-mixed Indic languages; ran vocoder experiments for low-latency synthesis; produced 8/16 kHz telephony-ready voices; built small-footprint/quantized variants for CPU/mobile; added pronunciation editor and MOS/listening tests for QA; prototyped consent-based voice cloning and accent adaptation.
• Prototyped diarization and forced alignment to enable redaction, highlights, and turn-level analytics.
• Instrumented QoS dashboards (latency, stability, error codes) and a results logbook for reproducibility.
• Impact: Faster model experiments, stronger Indic ASR/TTS baselines, and repeatable LLM/RAG + voice demos used in partner conversations.

May 2017 – May 2023 · 6 yrs · United States · Remote

• Led AI features and core product engineering across web and mobile, with a flagship project that automatically inventories streetlights from aerial/satellite imagery so field crews don’t have to inspect every pole manually.
• Designed detection workflows to distinguish streetlights from look-alike utility poles; built labeling guidelines, QA checks, and evaluation plans.
• Converted detections into pre-built inventories and field queues, prioritizing areas for verification rather than blanket surveys—improving time-to-coverage for large territories.
• Shipped crew-facing mobile apps (React Native) with offline maps, assignment lists, photo/notes capture, background sync, and push notifications—optimized for low-connectivity field work.
• Integrated operations data across lighting CMS, GIS, CRM, and asset systems so planners see a single picture; added rules to auto-generate efficient work plans and update the system of record.
• Delivered web dashboards for project status, exceptions, and before/after evidence; included simple approval flows to promote verified assets to production.
• Built reporting that maps detections → field outcomes → inventory health (coverage, duplicates, mismatches) to drive continuous improvement.
• Supported adjacent smart-lighting use cases (maintenance, upgrades, community visibility) to manage the full lifecycle in one platform.
• Also contributed full-stack: APIs and services for real-time events and analytics, secure auth/roles, usage & billing views, and CI/CD improvements for reliable releases.
• Impact: Reduced manual survey effort by directing crews to high-value locations, accelerated asset inventory creation, and gave operations leadership clear, map-based evidence for planning, audits, and program reporting.

Feb 2017 – Jun 2023 · 6 yrs 4 mos · United States · Remote

• Consulted on CV/analytics for airport operations and safety, covering the full turnaround cycle—from aircraft landing → taxi-in → stand operations → pushback → taxi-out → takeoff.
• Built an operations tracker that timestamped key events (on-block/off-block, gate/stand occupancy, pushback readiness) and surfaced schedule & turnaround (TAT/OTP) signals.
• Safety coverage: flagged potential stand/taxiway incursions, PPE & safe-zone compliance around aircraft, GSE placement/idle time, and foreign object debris (FOD) scenarios for review.
• Created automatic alerts to AOCC/apron control/safety teams with severity, SLA timers, and escalation logic; bundled short incident clips for quick triage.
• Set up an active-learning loop to capture hard examples and improve models; documented labeling rules for consistent annotations.
• Established an evaluation playbook (IoU targets, scenario stress tests: lighting, weather, occlusion) and presented trend reports to ops leadership.
• Turned detections into operational insights: daily ops review reels, shift-planning inputs, and post-incident summaries aligned to SMS practices (hazard identification, risk controls, assurance).
• Impact: Faster incident response, more reliable turnaround tracking, and a clear audit trail for safety reviews—contributing to better OTP, fewer missed events, and smoother ramp coordination.

Nov 2016 – Apr 2017 · 5 mos · Hyderabad Area, India

• Contributed to internal ops/analytics tooling used by product and operations teams.
• Delivered React + Redux feature work for complex data grids: server-side pagination/sort/filter, column freezing, inline edits, CSV/PDF exports, and drill-downs to detail views.
• Built Node.js REST endpoints and background jobs to support those views (validation, batching, rate-limited fetches, retries, and error handling); wrote clear API contracts and docs.
• Implemented role-based access control and activity logging for auditability; added guardrails (input sanitization, request quotas, feature flags).
• Improved frontend performance with memoization and code-splitting; reduced heavy screens’ time-to-interactive by streamlining renders and moving non-critical calls off the hot path.
• Introduced a reusable UI component library (forms, tables, filters, modals, toasts) to speed up new pages and keep styling consistent across teams.
• Added quality gates: unit tests for reducers/selectors and API handlers, smoke tests for critical flows, and CI checks for linting/format size so merges stayed healthy.
• Partnered with PM/QA to clarify requirements, maintain a small backlog, and ship on a predictable cadence; wrote handover notes so internal teams could own the modules post-engagement.
• Prototyped a small React Native companion (read-only): on-call alerts, approvals, and quick search—useful for managers away from desks.
• Impact: Faster feature delivery for internal users, smoother audits (thanks to RBAC + logging), and fewer production issues due to better testing and release hygiene.

Dec 2014 – Oct 2015 · 10 mos · Hyderabad Area, India

• Built K-12 learning experiences across 2D games and web apps used by teachers and students in Indian schools.
• Designed and shipped a library of 2D, curriculum-aligned games (math & science concepts) with clear learning objectives, progressive difficulty, scoring, hints, and end-of-level feedback.
• Created a reusable game framework (scene/state management, input handling, collision/physics, timers, sprites/animations) and a lightweight level-authoring format so content teams could produce new games without engineering bottlenecks.
• Integrated games with the LMS for login, progress sync, badges, and class assignments; produced session replays / attempt summaries for teacher review.
• Delivered React dashboards for teachers and students: class rosters, assignment setup, progress heatmaps, question banks, and quick previews; added role-based permissions and basic audit logs.
• Optimized for low-spec devices and labs: sprite atlases, lazy asset loading, frame-time budgets, and graceful fallbacks for older browsers—cutting load times and boosting frame rates.
• Enabled offline-first deployments (school labs with limited internet): local asset caching, content versioning, and a simple updater to roll out new units without full reinstalls.
• Instrumented learning analytics (time-on-task, concept mastery, hint usage) and ran lightweight A/Bs on difficulty ramps and hinting—fed findings back to curriculum & design.
• Drove accessibility & localization basics: keyboard support for core actions, clear color contrast, and content strings externalized for multiple languages.
• Partnered with curriculum, design, QA, and school coordinators; ran small usability sessions with teachers/students; documented playbooks for content teams and support.
• Impact: Higher classroom adoption and completion rates, faster lesson starts (reduced load time), smoother performance on low-end devices, and clearer visibility for teachers into student progress.

Aug 2013 – Dec 2014 · 1 yr 4 mos · Hyderabad Area, India

• Contributed to WaveMaker application development—shipping internal and customer apps end-to-end.
• Built Angular front-ends: reusable components, data grids/forms, role-based screens, routing, and state management; created a small design system (inputs, modals, tables) for reuse across apps.
• Extended WaveMaker with custom widgets/templates, page layouts, theme overrides, and scaffolds to speed up new projects.
• Developed Node.js REST services and background jobs for workflows, reporting, and notifications; added validation, error handling, and request throttling.
• Integrated with databases and enterprise APIs (REST/SOAP), file storage, email/SMS, and SSO (OAuth/SAML); added RBAC and audit logs for compliance.
• Optimized performance: server-side pagination/filtering, caching, lazy loading, and bundle size trims—cut time-to-interactive on heavy screens.
• Quality & release: unit/e2e tests for critical flows, environment configs, and CI/CD pipelines for predictable deployments.
• Wrote starter apps and how-to docs that helped new teams kick off quickly and keep conventions consistent.
• Impact: Faster delivery of production apps and POCs on WaveMaker, higher UI consistency through shared components, and fewer regressions due to better testing and release hygiene.