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AI Engineer with 2+ years in Automation and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking a challenging position in an organization where I can leverage my skills in AI Automation and Machine Learning to contribute to growth while gaining professional development. I aim to utilize my resourcefulness, innovative thinking, and flexibility to build scalable automation systems that drive real business impact.
Lords Institute of Engineering and Technology, Hyderabad
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2024 – Present
KLN Junior College, Miryalaguda, TS
Intermediate Education
June 1, 2022 – May 31, 2024
S V Model High School, Miryalaguda, TS
Secondary School Education
June 1, 2022 – May 31, 2022
OyeLabs Technologies Pvt. Ltd.
Senior Intern — AI Automation Department
February 1, 2026 – Present
Hyderābād, Telangana, India
Infinode AI
AI Automation & Web Engineer
January 1, 2026 – Present
India
Proxa Limited
n8n Automation Developer
October 1, 2024 – Present
China
Codlist Keyword Extraction
June 24, 2026 – Present
Automated keyword extraction and product-data processing from Google Sheets using Gemini AI, producing structured output for SEO and product discovery.
Imbalanced Dataset Handling
June 24, 2026 – Present
Experimented with resampling methods to improve classification performance on imbalanced data.
Polynomial Regression
June 24, 2026 – Present
Applied polynomial regression to capture non-linear relationships in datasets.
Multiclass Classification Model
June 24, 2026 – Present
Implemented and evaluated decision tree and logistic regression models for multi-category classification.
Loan Approval Prediction
June 24, 2026 – Present
Classification model predicting loan approvals from applicant financial and demographic data.
House Price Prediction
June 24, 2026 – Present
Regression model predicting house prices from multiple features, achieving ~82% accuracy.
LinkedIn Content Automation Engine
June 24, 2026 – Present
Scheduled n8n workflow fetching topics from Google Sheets, generating LinkedIn posts via an AI agent (Gemini/Tavily), and automating publication.
Text-to-Image Generation Workflow
June 24, 2026 – Present
Real-time generative AI workflow in n8n that refines user prompts via an AI agent and generates images through a third-party API.
AI Customer Support Workflow
June 24, 2026 – Present
Conversational AI agent (n8n + Pinecone RAG) that classifies and responds to customer support emails, reducing manual triage time.
Automated Faceless Video Content Publisher
June 24, 2026 – Present
Scheduled pipeline using yt-dlp and FFmpeg to overlay motivational quotes on royalty-free footage and auto-publish to YouTube.
AI-Powered Lipsync Video Generation Pipeline
June 24, 2026 – Present
Automated pipeline converting Google Sheets text into branded AI video using ElevenLabs TTS and Fal.ai lipsync generation.
Autonomous AI Avatar & Voice Cloning System
June 24, 2026 – Present
n8n-based multimodal content engine transforming YouTube data into AI avatar clones with zero human intervention, using Gemini 2.0 Flash for script synthesis and ElevenLabs/HeyGen for voice cloning.
MEE — AI Lead Enrichment & Outreach Platform
June 24, 2026 – Present
4-workflow suite: Google Maps scraping (SerpAPI) → website enrichment → deep contact extraction (Groq Llama 3.3-70B) → AI-generated outreach for cold email, LinkedIn, and WhatsApp.
AI Video Cloning System
June 24, 2026 – Present
Google Sheets-triggered pipeline converting scripts to speech (ElevenLabs) and generating lip-synced AI video via Fal.ai, with output URLs logged back to source data.
Discord Button Handler
June 24, 2026 – Present
Multi-source Discord button-click handler for manual lead assignment (WATI, WordPress, Tawk.to) that updates Supabase, assigns operators, and logs confirmations.
GHL + Supabase Integration
June 24, 2026 – Present
Real-time sync from Supabase to GoHighLevel CRM on lead assignment; auto-creates contacts and opportunities, increments lead counts, and sends agent notifications.
Tawk.to Lead Management
June 24, 2026 – Present
Live-chat lead automation: new vs. returning lead detection, inactive-assignee reassignment, AI product picker, and 5-minute Discord manual window with auto-assign fallback.
WordPress CF7 Lead → First Response Email
June 24, 2026 – Present
End-to-end n8n pipeline receiving CF7 leads with a 10-point spam filter, AI-generated personalized email responses via GPT/Gemini, round-robin agent assignment, and duplicate-lead detection.
WATI Lead Handler
June 24, 2026 – Present
AI-powered WhatsApp lead qualification and automated sales-agent assignment system (n8n, WATI, GPT-4o-mini/Gemini, Supabase, Discord) handling inbound leads 24/7 with round-robin routing and 5-minute auto-assignment fallback.
MoonBank P2P — AI Voice Calling System
June 24, 2026 – Present
Built a P2P lending pipeline where MiniMax AI qualifies borrowers via chat, matches them to investors from a knowledge base, and triggers ElevenLabs AI outbound voice calls for investor matching and borrower verification (n8n, MiniMax M2, ElevenLabs, Twilio, Google Sheets).
Apex Windows TX — CRM & Quoting Automation
June 24, 2026 – Present
Built end-to-end automation for a U.S. window-repair business: a 2-stage photo-capture intake form, AI-generated estimates, sales-manager approval routing, automated quote delivery, a Kanban CRM dashboard, and a Google Review follow-up sequence (apexwindowstx.com).
Real-Time Instagram AI Lead Agent / Concierge Platform
June 24, 2026 – Present
Architected and Deployed an end-to-end automated AI messaging pipeline that intercepts real-time Instagram DMs via Meta Webhooks, routing payloads through secure Ngrok tunnels for immediate backend processing. Engineered and Conducted Prompt Engineering for a local LLM using Ollama, executing precise system prompts enabling structured pricing delivery, multi-turn qualification flows, and item-customization logic. Implemented a Dual-State Hybrid Routing Engine (“Human Mode”) enabling seamless human-in-the-loop intervention, letting administrators pause AI automation instantly and take manual control of conversations. Designed a High-Performance Dashboard UI using Next.js and Tailwind CSS with Supabase real-time subscriptions to dynamically stream message components and update lead profiles asynchronously without full-page reloads. Optimized Layout Performance and Core Web Vitals by resolving flexbox image shifts and enforcing rigid aspect-ratio containment for cross-device stability.
Jenna — AI-Powered Financial Coaching Platform
June 1, 2026 – June 1, 2026
Resolved 8 critical bugs in an AI-driven CI/CD pipeline powered by Claude AI agents, implementing mode-based agent isolation (read-only / code / review) to eliminate cross-agent contamination. Added artifact-verification safeguards to prevent false “completion” statuses on missing build outputs, and enforced edit-over-write operations to preserve audit-log integrity across 25+ agent configurations. Built SLA-driven gate management with automated Slack escalation alerts (2h/4h/8h) and implemented token-budget controls ($10/run, $50/feature) with hard-stop cost enforcement. Designed a PostgreSQL-based knowledge graph schema (12 entity types, 10+ relationship types) to support cross-session financial coaching memory, with Row-Level Security policies for multi-tenant data isolation (in progress). Coordinated with a 4-person team and a teammate's parallel RAG workstream on an accelerated 4-week delivery timeline.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from professional client engagements to personal automation projects and academic ML tasks, indicates a broad interest and adaptability. Their experience in leading teams and working on cross-functional projects suggests a collaborative spirit. The focus on building practical, business-impactful AI solutions aligns well with a results-oriented culture. The co-founding experience at Infinode AI also points to a proactive and ownership-driven mindset, which is a strong cultural fit for innovative and fast-paced environments.
Soft Skills & Operational Fit
The candidate demonstrates strong self-motivation, persistence, and a fast learning ability, which are crucial for an AI Engineer role. Their experience in leading small teams and coordinating with parallel workstreams indicates good collaboration and leadership potential. The project descriptions highlight a resourceful and innovative approach to problem-solving, particularly in building scalable automation systems. The candidate's involvement in co-founding an AI automation agency suggests an entrepreneurial mindset and a proactive approach to identifying and solving business problems with AI.